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    "# 大气遥相关\n",
    "# 实习内容 ： 1981-2018年\n",
    "- 计算太平洋西部型（WP）遥相关指数，输出1月份该指数年际变化的时间序列\n",
    "- 计算太平洋西部型（WP）遥相关指数与同期环流场（500hPa高度场或海平面气压场）的相关系数 （空间场）\n",
    "- 计算太平洋西部型（WP）遥相关指数与同期北半球气温的相关系数 （空间场）\n",
    "WP=$\\frac{1}{2}$ [Z(60°N，155°E)-Z(30°N，155°E)]\n",
    "- 太平洋北美型\n",
    "PNA=$\\frac{1}{4}$ [Z(20°N，160°W)-Z(45°N，165°W)+Z(55°N，115°W)-Z(30°N，85°W)]"
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    "# 需要用到的包\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
    "from matplotlib.ticker import MultipleLocator\n",
    "from cartopy.util import add_cyclic_point\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  ###防止无法显示中文并设置黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  ###用来正常显示负号"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (level: 17, lat: 73, lon: 144, time: 513, nbnds: 2)\n",
       "Coordinates:\n",
       "  * level      (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat        (lat) float32 90.0 87.5 85.0 82.5 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon        (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-09-01\n",
       "Dimensions without coordinates: nbnds\n",
       "Data variables:\n",
       "    time_bnds  (time, nbnds) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-10-01\n",
       "    hgt        (time, level, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:    CF-1.0\n",
       "    title:          Monthly NCEP/DOE Reanalysis 2\n",
       "    comments:       Data is from \\nNCEP/DOE AMIP-II Reanalysis (Reanalysis-2)...\n",
       "    platform:       Model\n",
       "    source:         NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Model\n",
       "    institution:    National Centers for Environmental Prediction\n",
       "    dataset_title:  NCEP-DOE AMIP-II Reanalysis\n",
       "    References:     https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysi...\n",
       "    source_url:     http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/\n",
       "    history:        created 2002/03 by Hoop (netCDF2.3)\\nConverted to chunked...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-12dd987b-8058-4563-9aad-88bacebf24bb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-12dd987b-8058-4563-9aad-88bacebf24bb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>level</span>: 17</li><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span class='xr-has-index'>time</span>: 513</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e82aab5c-9405-422a-a380-50ecd2165baf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e82aab5c-9405-422a-a380-50ecd2165baf' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 925.0 850.0 ... 20.0 10.0</div><input id='attrs-a627cbb8-03d1-4f74-98c2-6852ec2e97c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a627cbb8-03d1-4f74-98c2-6852ec2e97c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d3bc007-3529-40b1-a577-37b42ec02b48' class='xr-var-data-in' type='checkbox'><label for='data-1d3bc007-3529-40b1-a577-37b42ec02b48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  925.,  850.,  700.,  600.,  500.,  400.,  300.,  250.,  200.,\n",
       "        150.,  100.,   70.,   50.,   30.,   20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-8bb48d8b-aa92-4f31-bb96-fbdc8ae7798b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bb48d8b-aa92-4f31-bb96-fbdc8ae7798b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4ff5a00-1c61-4bef-9c69-6201cdd54fdd' class='xr-var-data-in' type='checkbox'><label for='data-f4ff5a00-1c61-4bef-9c69-6201cdd54fdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-a0fc8880-2a5b-45df-8ed9-6060722cbe7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0fc8880-2a5b-45df-8ed9-6060722cbe7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dea4198e-4454-4ecb-8283-71ab8b01e60b' class='xr-var-data-in' type='checkbox'><label for='data-dea4198e-4454-4ecb-8283-71ab8b01e60b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2021-09-01</div><input id='attrs-08aca4f4-e3b9-4370-9c88-a03b9f09b68c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08aca4f4-e3b9-4370-9c88-a03b9f09b68c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24155705-7573-4227-bca7-a48bbb418273' class='xr-var-data-in' type='checkbox'><label for='data-24155705-7573-4227-bca7-a48bbb418273' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>coordinate_defines :</span></dt><dd>start</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>actual_range :</span></dt><dd>[1569072. 1943088.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89ad3835-c5e4-41ce-bfa8-a07a215d47b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89ad3835-c5e4-41ce-bfa8-a07a215d47b0' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca9b0a7b-9bbd-4dca-886c-214c13fee186' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca9b0a7b-9bbd-4dca-886c-214c13fee186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b774efd8-d657-4285-ad83-7486bb2cfda8' class='xr-var-data-in' type='checkbox'><label for='data-b774efd8-d657-4285-ad83-7486bb2cfda8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-02-01T00:00:00.000000000&#x27;, &#x27;1979-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-03-01T00:00:00.000000000&#x27;, &#x27;1979-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2021-07-01T00:00:00.000000000&#x27;, &#x27;2021-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2021-09-01T00:00:00.000000000&#x27;, &#x27;2021-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hgt</span></div><div class='xr-var-dims'>(time, level, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61e71f8b-be13-4743-9d5e-1e15aae56182' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61e71f8b-be13-4743-9d5e-1e15aae56182' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5c8ec5b-35a1-4712-8bc0-8d1a6fb413f5' class='xr-var-data-in' type='checkbox'><label for='data-c5c8ec5b-35a1-4712-8bc0-8d1a6fb413f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Geopotential Heights on Pressure Levels</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>GRIB_id :</span></dt><dd>7</dd><dt><span>GRIB_name :</span></dt><dd>HGT</dd><dt><span>var_desc :</span></dt><dd>Geopotential height</dd><dt><span>dataset :</span></dt><dd>NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Monthly Averages</dd><dt><span>level_desc :</span></dt><dd>Pressure Levels</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>standard_name :</span></dt><dd>geopotential_height</dd><dt><span>cell_methods :</span></dt><dd>time: mean (montly from 6-hourly values)</dd><dt><span>valid_range :</span></dt><dd>[-1500. 35800.]</dd><dt><span>actual_range :</span></dt><dd>[ -347. 32301.]</dd></dl></div><div class='xr-var-data'><pre>[91675152 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2757cb6-7b20-49fa-81ae-c6fe5fbaa5dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-d2757cb6-7b20-49fa-81ae-c6fe5fbaa5dd' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>title :</span></dt><dd>Monthly NCEP/DOE Reanalysis 2</dd><dt><span>comments :</span></dt><dd>Data is from \n",
       "NCEP/DOE AMIP-II Reanalysis (Reanalysis-2)\n",
       "(4x/day).  It consists of most variables interpolated to\n",
       "pressure surfaces from model (sigma) surfaces.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>source :</span></dt><dd>NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Model</dd><dt><span>institution :</span></dt><dd>National Centers for Environmental Prediction</dd><dt><span>dataset_title :</span></dt><dd>NCEP-DOE AMIP-II Reanalysis</dd><dt><span>References :</span></dt><dd>https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html</dd><dt><span>source_url :</span></dt><dd>http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/</dd><dt><span>history :</span></dt><dd>created 2002/03 by Hoop (netCDF2.3)\n",
       "Converted to chunked, deflated non-packed NetCDF4 2020/05</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (level: 17, lat: 73, lon: 144, time: 513, nbnds: 2)\n",
       "Coordinates:\n",
       "  * level      (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat        (lat) float32 90.0 87.5 85.0 82.5 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon        (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-09-01\n",
       "Dimensions without coordinates: nbnds\n",
       "Data variables:\n",
       "    time_bnds  (time, nbnds) datetime64[ns] ...\n",
       "    hgt        (time, level, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:    CF-1.0\n",
       "    title:          Monthly NCEP/DOE Reanalysis 2\n",
       "    comments:       Data is from \\nNCEP/DOE AMIP-II Reanalysis (Reanalysis-2)...\n",
       "    platform:       Model\n",
       "    source:         NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Model\n",
       "    institution:    National Centers for Environmental Prediction\n",
       "    dataset_title:  NCEP-DOE AMIP-II Reanalysis\n",
       "    References:     https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysi...\n",
       "    source_url:     http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/\n",
       "    history:        created 2002/03 by Hoop (netCDF2.3)\\nConverted to chunked..."
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据\n",
    "ds=xr.open_dataset('hgt.mon.mean.nc')\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       ".xr-icon-file-text2 {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (time: 513, level: 17, lat: 73, lon: 144)&gt;\n",
       "[91675152 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * level    (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-09-01\n",
       "Attributes:\n",
       "    long_name:      Monthly Geopotential Heights on Pressure Levels\n",
       "    units:          m\n",
       "    precision:      0\n",
       "    GRIB_id:        7\n",
       "    GRIB_name:      HGT\n",
       "    var_desc:       Geopotential height\n",
       "    dataset:        NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Monthly Averages\n",
       "    level_desc:     Pressure Levels\n",
       "    statistic:      Individual Obs\n",
       "    parent_stat:    Other\n",
       "    standard_name:  geopotential_height\n",
       "    cell_methods:   time: mean (montly from 6-hourly values)\n",
       "    valid_range:    [-1500. 35800.]\n",
       "    actual_range:   [ -347. 32301.]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 513</li><li><span class='xr-has-index'>level</span>: 17</li><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cd360b05-bc52-4574-af09-3255a56ba622' class='xr-array-in' type='checkbox' checked><label for='section-cd360b05-bc52-4574-af09-3255a56ba622' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[91675152 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-5e599f10-ad7d-4966-a194-732f2a6b6151' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5e599f10-ad7d-4966-a194-732f2a6b6151' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 925.0 850.0 ... 20.0 10.0</div><input id='attrs-1f11df03-4f2b-473e-94fe-cde5c4d5cf88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f11df03-4f2b-473e-94fe-cde5c4d5cf88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-481736be-2abf-495d-8ad7-99db619ee959' class='xr-var-data-in' type='checkbox'><label for='data-481736be-2abf-495d-8ad7-99db619ee959' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  925.,  850.,  700.,  600.,  500.,  400.,  300.,  250.,  200.,\n",
       "        150.,  100.,   70.,   50.,   30.,   20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-da55a14d-03e1-4c54-99b4-08057fe7d774' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da55a14d-03e1-4c54-99b4-08057fe7d774' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6455b266-04c3-475b-85d6-b666eff7cc53' class='xr-var-data-in' type='checkbox'><label for='data-6455b266-04c3-475b-85d6-b666eff7cc53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-e66cbb60-1290-4fdc-99e1-2407373bd782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e66cbb60-1290-4fdc-99e1-2407373bd782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6250e826-9060-4ed8-bc58-32189b37a5f3' class='xr-var-data-in' type='checkbox'><label for='data-6250e826-9060-4ed8-bc58-32189b37a5f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2021-09-01</div><input id='attrs-cc60801a-04c8-4546-aff6-788a13d425e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc60801a-04c8-4546-aff6-788a13d425e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0650f345-58ae-4364-b1e3-aaa52f6a4725' class='xr-var-data-in' type='checkbox'><label for='data-0650f345-58ae-4364-b1e3-aaa52f6a4725' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>coordinate_defines :</span></dt><dd>start</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>actual_range :</span></dt><dd>[1569072. 1943088.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26d98e5a-b010-4b8d-84ae-8ca515cb84cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-26d98e5a-b010-4b8d-84ae-8ca515cb84cc' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Geopotential Heights on Pressure Levels</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>GRIB_id :</span></dt><dd>7</dd><dt><span>GRIB_name :</span></dt><dd>HGT</dd><dt><span>var_desc :</span></dt><dd>Geopotential height</dd><dt><span>dataset :</span></dt><dd>NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Monthly Averages</dd><dt><span>level_desc :</span></dt><dd>Pressure Levels</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>standard_name :</span></dt><dd>geopotential_height</dd><dt><span>cell_methods :</span></dt><dd>time: mean (montly from 6-hourly values)</dd><dt><span>valid_range :</span></dt><dd>[-1500. 35800.]</dd><dt><span>actual_range :</span></dt><dd>[ -347. 32301.]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (time: 513, level: 17, lat: 73, lon: 144)>\n",
       "[91675152 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * level    (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-09-01\n",
       "Attributes:\n",
       "    long_name:      Monthly Geopotential Heights on Pressure Levels\n",
       "    units:          m\n",
       "    precision:      0\n",
       "    GRIB_id:        7\n",
       "    GRIB_name:      HGT\n",
       "    var_desc:       Geopotential height\n",
       "    dataset:        NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Monthly Averages\n",
       "    level_desc:     Pressure Levels\n",
       "    statistic:      Individual Obs\n",
       "    parent_stat:    Other\n",
       "    standard_name:  geopotential_height\n",
       "    cell_methods:   time: mean (montly from 6-hourly values)\n",
       "    valid_range:    [-1500. 35800.]\n",
       "    actual_range:   [ -347. 32301.]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hgt=ds['hgt']\n",
    "hgt"
   ]
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    "hgt=hgt.loc[hgt.time.dt.month.isin([1])].loc['1981':'2018',:,:,:]"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (time: 38, level: 17, lat: 73, lon: 144)&gt;\n",
       "[6790752 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * level    (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time     (time) datetime64[ns] 1981-01-01 1982-01-01 ... 2018-01-01\n",
       "Attributes:\n",
       "    long_name:      Monthly Geopotential Heights on Pressure Levels\n",
       "    units:          m\n",
       "    precision:      0\n",
       "    GRIB_id:        7\n",
       "    GRIB_name:      HGT\n",
       "    var_desc:       Geopotential height\n",
       "    dataset:        NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Monthly Averages\n",
       "    level_desc:     Pressure Levels\n",
       "    statistic:      Individual Obs\n",
       "    parent_stat:    Other\n",
       "    standard_name:  geopotential_height\n",
       "    cell_methods:   time: mean (montly from 6-hourly values)\n",
       "    valid_range:    [-1500. 35800.]\n",
       "    actual_range:   [ -347. 32301.]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 38</li><li><span class='xr-has-index'>level</span>: 17</li><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b9a14a11-6dd2-474a-aec6-54de12392dfa' class='xr-array-in' type='checkbox' checked><label for='section-b9a14a11-6dd2-474a-aec6-54de12392dfa' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[6790752 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-27a2dccd-0676-4581-b52c-fc7d0bc97f76' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27a2dccd-0676-4581-b52c-fc7d0bc97f76' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 925.0 850.0 ... 20.0 10.0</div><input id='attrs-c0678ff1-b8d5-4073-9b9b-a87cdbd5efe9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0678ff1-b8d5-4073-9b9b-a87cdbd5efe9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6206452f-a69c-4482-b238-066ed0f2332f' class='xr-var-data-in' type='checkbox'><label for='data-6206452f-a69c-4482-b238-066ed0f2332f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  925.,  850.,  700.,  600.,  500.,  400.,  300.,  250.,  200.,\n",
       "        150.,  100.,   70.,   50.,   30.,   20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-da904f50-c755-48e0-932f-e31e4c3ce065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da904f50-c755-48e0-932f-e31e4c3ce065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-226b7b05-206d-4c11-aa3a-fe90fce9a290' class='xr-var-data-in' type='checkbox'><label for='data-226b7b05-206d-4c11-aa3a-fe90fce9a290' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-70cee153-5f3f-4345-84e7-0c811be529f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70cee153-5f3f-4345-84e7-0c811be529f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07c248e5-e358-48d2-9811-17bd9ac720fc' class='xr-var-data-in' type='checkbox'><label for='data-07c248e5-e358-48d2-9811-17bd9ac720fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2018-01-01</div><input id='attrs-00814aec-4b68-49e5-ae2f-1a0f5d568d90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00814aec-4b68-49e5-ae2f-1a0f5d568d90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86c82d32-35f4-4072-ac50-799861698d1d' class='xr-var-data-in' type='checkbox'><label for='data-86c82d32-35f4-4072-ac50-799861698d1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>coordinate_defines :</span></dt><dd>start</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>actual_range :</span></dt><dd>[1569072. 1943088.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-01-01T00:00:00.000000000&#x27;, &#x27;1984-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-01-01T00:00:00.000000000&#x27;, &#x27;1986-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-01-01T00:00:00.000000000&#x27;, &#x27;1988-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1992-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-01-01T00:00:00.000000000&#x27;, &#x27;1994-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-01-01T00:00:00.000000000&#x27;, &#x27;1996-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-01-01T00:00:00.000000000&#x27;, &#x27;1998-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-01-01T00:00:00.000000000&#x27;, &#x27;2010-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-01T00:00:00.000000000&#x27;, &#x27;2012-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2014-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2016-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2018-01-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d178fb2c-97ea-4710-a611-f7d420b5fda3' class='xr-section-summary-in' type='checkbox'  ><label for='section-d178fb2c-97ea-4710-a611-f7d420b5fda3' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Geopotential Heights on Pressure Levels</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>GRIB_id :</span></dt><dd>7</dd><dt><span>GRIB_name :</span></dt><dd>HGT</dd><dt><span>var_desc :</span></dt><dd>Geopotential height</dd><dt><span>dataset :</span></dt><dd>NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Monthly Averages</dd><dt><span>level_desc :</span></dt><dd>Pressure Levels</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>standard_name :</span></dt><dd>geopotential_height</dd><dt><span>cell_methods :</span></dt><dd>time: mean (montly from 6-hourly values)</dd><dt><span>valid_range :</span></dt><dd>[-1500. 35800.]</dd><dt><span>actual_range :</span></dt><dd>[ -347. 32301.]</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.DataArray 'hgt' (time: 38, level: 17, lat: 73, lon: 144)>\n",
       "[6790752 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * level    (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time     (time) datetime64[ns] 1981-01-01 1982-01-01 ... 2018-01-01\n",
       "Attributes:\n",
       "    long_name:      Monthly Geopotential Heights on Pressure Levels\n",
       "    units:          m\n",
       "    precision:      0\n",
       "    GRIB_id:        7\n",
       "    GRIB_name:      HGT\n",
       "    var_desc:       Geopotential height\n",
       "    dataset:        NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Monthly Averages\n",
       "    level_desc:     Pressure Levels\n",
       "    statistic:      Individual Obs\n",
       "    parent_stat:    Other\n",
       "    standard_name:  geopotential_height\n",
       "    cell_methods:   time: mean (montly from 6-hourly values)\n",
       "    valid_range:    [-1500. 35800.]\n",
       "    actual_range:   [ -347. 32301.]"
      ]
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       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (time: 38)&gt;\n",
       "array([-0.15120279, -0.50045082, -0.12867066,  1.54997314,  0.07411853,\n",
       "       -0.07234033, -1.14261657, -2.19036069, -1.79604838, -1.24401116,\n",
       "        1.92175331, -1.559461  , -0.91729526, -0.62437755,  0.25437558,\n",
       "        0.75008247,  1.75276232, -0.02727606,  0.47969689, -0.00474393,\n",
       "       -0.90602919,  0.22057738, -0.24133131,  1.11059658,  0.29943984,\n",
       "        0.840211  , -1.21021297, -0.8046346 ,  0.67122001,  0.25437558,\n",
       "        0.8740092 ,  1.40351429,  0.81767887, -0.69197394,  1.14439477,\n",
       "       -1.2665433 ,  0.840211  ,  0.22057738])\n",
       "Coordinates:\n",
       "    level    float32 500.0\n",
       "    lon      float32 155.0\n",
       "  * time     (time) datetime64[ns] 1981-01-01 1982-01-01 ... 2018-01-01</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 38</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-34859fad-ab27-43a0-a6cb-7741b2ed55de' class='xr-array-in' type='checkbox' checked><label for='section-34859fad-ab27-43a0-a6cb-7741b2ed55de' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.1512 -0.5005 -0.1287 1.55 0.07412 ... 1.144 -1.267 0.8402 0.2206</span></div><div class='xr-array-data'><pre>array([-0.15120279, -0.50045082, -0.12867066,  1.54997314,  0.07411853,\n",
       "       -0.07234033, -1.14261657, -2.19036069, -1.79604838, -1.24401116,\n",
       "        1.92175331, -1.559461  , -0.91729526, -0.62437755,  0.25437558,\n",
       "        0.75008247,  1.75276232, -0.02727606,  0.47969689, -0.00474393,\n",
       "       -0.90602919,  0.22057738, -0.24133131,  1.11059658,  0.29943984,\n",
       "        0.840211  , -1.21021297, -0.8046346 ,  0.67122001,  0.25437558,\n",
       "        0.8740092 ,  1.40351429,  0.81767887, -0.69197394,  1.14439477,\n",
       "       -1.2665433 ,  0.840211  ,  0.22057738])</pre></div></div></li><li class='xr-section-item'><input id='section-c8f3aaed-dd64-46df-8b75-5a21ce088b29' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8f3aaed-dd64-46df-8b75-5a21ce088b29' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0</div><input id='attrs-7bbcefeb-ecee-47f0-b03f-7380fde04111' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bbcefeb-ecee-47f0-b03f-7380fde04111' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-004f5c51-4403-4f91-b770-3808c218ff50' class='xr-var-data-in' type='checkbox'><label for='data-004f5c51-4403-4f91-b770-3808c218ff50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array(500., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>155.0</div><input id='attrs-bd17e0ac-554f-4e15-aad5-2e4c399243f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd17e0ac-554f-4e15-aad5-2e4c399243f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-110254d4-52a3-46c3-a367-12173ea9eb18' class='xr-var-data-in' type='checkbox'><label for='data-110254d4-52a3-46c3-a367-12173ea9eb18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array(155., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2018-01-01</div><input id='attrs-62572573-7c10-48bd-b202-0474d1c5be4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62572573-7c10-48bd-b202-0474d1c5be4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bd258de-5355-4db1-bade-15705b3bd110' class='xr-var-data-in' type='checkbox'><label for='data-8bd258de-5355-4db1-bade-15705b3bd110' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>coordinate_defines :</span></dt><dd>start</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>actual_range :</span></dt><dd>[1569072. 1943088.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-01-01T00:00:00.000000000&#x27;, &#x27;1984-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-01-01T00:00:00.000000000&#x27;, &#x27;1986-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-01-01T00:00:00.000000000&#x27;, &#x27;1988-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1992-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-01-01T00:00:00.000000000&#x27;, &#x27;1994-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-01-01T00:00:00.000000000&#x27;, &#x27;1996-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-01-01T00:00:00.000000000&#x27;, &#x27;1998-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-01-01T00:00:00.000000000&#x27;, &#x27;2010-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-01T00:00:00.000000000&#x27;, &#x27;2012-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2014-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2016-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2018-01-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-250cea6f-2022-4a83-9e29-315428cd1814' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-250cea6f-2022-4a83-9e29-315428cd1814' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (time: 38)>\n",
       "array([-0.15120279, -0.50045082, -0.12867066,  1.54997314,  0.07411853,\n",
       "       -0.07234033, -1.14261657, -2.19036069, -1.79604838, -1.24401116,\n",
       "        1.92175331, -1.559461  , -0.91729526, -0.62437755,  0.25437558,\n",
       "        0.75008247,  1.75276232, -0.02727606,  0.47969689, -0.00474393,\n",
       "       -0.90602919,  0.22057738, -0.24133131,  1.11059658,  0.29943984,\n",
       "        0.840211  , -1.21021297, -0.8046346 ,  0.67122001,  0.25437558,\n",
       "        0.8740092 ,  1.40351429,  0.81767887, -0.69197394,  1.14439477,\n",
       "       -1.2665433 ,  0.840211  ,  0.22057738])\n",
       "Coordinates:\n",
       "    level    float32 500.0\n",
       "    lon      float32 155.0\n",
       "  * time     (time) datetime64[ns] 1981-01-01 1982-01-01 ... 2018-01-01"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算太平洋西部型遥相关系数WP 500hPa\n",
    "WP500=0.5*(hgt.loc[:,500,60,155]-hgt.loc[:,500,30,155])\n",
    "biaozhunWP500=(WP500-WP500.mean())/WP500.std()\n",
    "biaozhunWP500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3WMmDip6eHhw4sNZHhyAIgiCIakRUNE4LlT8IgiAIgpAFCioIgiAIgpAFCioIgiAIgpAFCioIgiAIgpCFgho1GWM2CL4EaggWz2/mK+6RBEEQBEHUIYVmKvoBfINzfgME6+Yb5VsSQRAEQRDVSEGZCs75d1L+6wAwK89yCIIgCIKoVorqqWCMXQbB7e8va7bvY4wdYIwdcLtzcUomCIIgCKLaKTioEN3xvg3gvWsf45wPcc73cs73OhxpRbcIgiAIgqgxCgoqGGM6AL8G8GnOeUZlLYIoluHhYfT09EClUqGnpwfDw8OVXhJBEASRgUIzFe8DcAGAAcbYw4yxN8u4JoIAIAQU+/btw+joKDjnGB0dxb59+yiwIAiCUCiMc17SF9i7dy8n7w+iEHp6ejA6uj4R1t3djTNnzpR/QQRBEAQYY89wzveme4zErwjFMjY2ltd2giAIorJQUEEolq6urry2EwRBEJWFggpCsQwODsJkMq3aZjKZMDg4WKEVEQRBEBtBQQWhWPr7+zE0NIRGZzsABmfbZgwNDaG/v7/SSyMIgiDSUJCiJkGUi/7+fozYzscPHjuNr79xN267cHOll0QQBEFkgDIVhOLxhWIAAH8kVuGVEARBEBtBQQWheHxhMagIxyu8EoIgCGIjKKggFM9KUEGZCoIgCCVDQQWheJJBBZU/CIIgFA0FFYTiSfZUUKaCIAhC0VBQQSge6qnIDhmvEQShBGiklFA83lAUAJU/MiEZrwUCAQBIGq8BIE0PgiDKCmUqCEXDOadGzSwMDAwkAwqJQCCAgYGBCq2IIIh6hYIKQtGEogkkRCNdKn+kh4zXCIJQChRUEIrGG44mv6fyR3rIeI0gCKVAQQWhaKTJD5NOTZmKDJDxGkEQSoGCCkLRSP0UmxoM1FORgf7+ftx++xA0NicABpujjYzXCIKoCDT9QSgaKVPhbNBjZM6PeIJDrWIVXpXyuPKm16LjQ3YAwE3nbEJ//4WVXRBBEHUJZSoIReNNyVQAQID6KtJybMYLALDqNZj1hiu8GoIg6hUKKghFI5U8WsWggvoq0nPcJQQVl2xthpuCCoIgKgQFFYSikXoqnFJQQZmKtBx3+dBhN2JLiwmz3hA455VeEkEQdQgFFYSi8YZWlz+oWTM9x11enLXJCodVj1A0kQzGCIIgygkFFYSi8YVj0KoZGs1aAFT+SEc0nsAptw/bW61wWoXgi/oqCIKoBBRUEIrGF4rBotfAohcGlShTsZ7ReT+icY7trRY4rHoAwKyHggqCIMoPBRUyQS6RpcEXjsFi0MAsBRXUU7GOYzM+ABAzFUJQ4fZRUEEQRPkhnQoZIJfI0uELx2DWaWDWSZkKKn+s5ZjLCxUDep0WhKMJAMCsJ1ThVREEUY9QpkIGyCWydPhCMVgNGpj1agBU/kjHCZcX3c1mGLRqNBg10GlUlKkgCKIiUFAhA+QSWTp8YaGnwqSj8kcmjrm82N5qAQAwxuCw6OGmngqCICoABRUyQC6RpUPoqdBCrWIwatWUqVhDKBrHmTk/zmq1Jrc5rHqa/iAIoiJQUCED5BJZOrzi9AcAmPVq+KinYhWn3D4kOLB900pQ4bTqSVWTIIiKQEGFDPT39+Pb3/ke1A0OAAztmzvJJVImfOEorAYpqNCQ98caTrhWJj8knA16zHqpUZMgiPJD0x8ycc3Nr8fmo00AgB+9+yJcs8NZ4RVVP7F4AqFoIjn5YdZpqPyxhmMuL7Rqhp5mc3Kbw2LAYiCKSCwBnYbuGwiCKB/0iSMTrpQRvqnlYAVXUjtI46MWw0r5g0ZKV3N8xoutLZZVwYOzQdCqmKMJEIIgygwFFTKxKqhYoqBCDrzhKADBzhsQyh80/bGa47Ne9ImTHxIOi6iqSX0VBEGUGQoqZEKSRW4waDC1RPVsOZBMsZKZCip/rMIfjmF8Ibhq8gNYyVRQsyZBEOWGggqZcHlCMGhVOGuTlTIVMuETHUpTpz+o/LHCiVmxSXPTmqAiaSpGwS1RW5AdgvKhRk2ZcHnDaG0woMNuxDNji5VeTk3gXZup0FOmIpXjLi+A1ZMfANBs0YExMhUjaguyQ6gOKFMhEy5PCK0NBrTZjZhZDiGR4JVeUtUjZSqSPRU6oaeCc/rdAkKTpl6jQlfTao0UrVqFJpOOpLqJmoLsEKoDCipkQgoq2u1GROOcOu9lQMpKmFMaNRMcCImmWfXOMZfQpKlWsXWPOax6ylQQNQXZIVQHFFTIAOdcCCqsenTYhXr2JPVVFM26Rk3JVIwmQAAI5Y+1pQ8Jh1VPmQqipiA7hOqAggoZ8IRiCEUTQvnDZgQAmgCRAa9Y/kgVvwLIqRQAlgNRuDzhjEGF02qAm+zPiRriHz/zBTCNftU2skNQHhRUyMCs+OHtbNCj3S4EFdMkgFU0vnAMZp06md6XMhU+CipwfFZo0lw7TiohZSqo/4SoFUw7r0bTjR+Fs20zAIaWTR1kh6BAaPpDBlxi7bq1wYAGgwYWvYbKHzLgC8WSpQ9gpbciEKGx0mMz4uTHpkyZCj2icY6lQBSNZl05l0YQJeHeQ9PYe92rcc+d/4aX/etDOHezDf39eyu9LGINlKmQAUlNs7XBAMYY2mwG0qqQAV94xaEUWAkqKFMBnHB5YdFr0G4zpH1cEsAiVU2iFpj1hnBgdBE3nrMJjDFcs8OJx07MIRyjGwylQUGFDLhEkSGnVfggb7cbqadCBtYFFWJPRYAEsJKTH4ytn/wAVqS6SVWTqAXuO+wC58BN57QBAK7d4YQ/EsdfT5MmkNKgoEIGZj1hWPWa5J10u91IPRUy4AuvLX+I0x91nqngnOPYjDdjPwUAOBtIVZOoHe47NIOtLWZsF31uLt/WAr1GhYdemq3wyoi1UFAhAy5PKJluBoB2mwFzvghCUbqjLgZfKH2mot5HSud8ESwGoujbIKhwWKn8QdQGi/4InhyZxyvF0gcAGHVqXLatGX8+RkGF0qCgQgZcnhA2pdS2VyZA6C6xGITyhzb5fykTVO+ZihOujSc/AMEvxaRTU/mDqHoeOOpCPMFx0zmbVm2/5iwnTs/5cXrOX6GVEemgoEIGXJ4wWq1pggpq1iwKbygKa0r5Q6dRQadWwVfnPRXHJM+PTZYNn+e06ilTQVQ99x2aQYfdiHM7bKu2X7vDCQD4M5VAFAUFFUWSSHDMekPJGjYAtJOqZtFwztc1agKASa9GoM7LH8ddXjSatMlmzEw4rHq4qaeCqGK8oSgePTGHV+7atK4pubPJhF6nhUogCoOCiiJZDEQQjXO0pvRUSKUQmgApnFA0gQRfKXlImHWauh8pPe7yoa/VmnHyQ8JpNVCmgqhqHnppFpF4Ajeduynt49fucOKpkYW6L4kqCQoqiiRV+EpCr1HDYdXTBEgReMNRAFg1/QEIEyD1PFLKOcfxLJMfEg6rHm4yFSOqmHsPzcBh1ePCrsa0j199lgOReAKPnZwr88qITFBQUSSSRkVqpgIQJkCo/FE4a23PJcx6TV1Pf0wvh+ANxzIqaabisOrhDccQJAVSogoJRuJ4+Jgbr9zVClUaJ14AuKinCVa9Bg9TCUQxUFBRJEnfD+tqZUNBAIuCikJJOpRS+WMVx6UmTefGTZrAihgbTYAQ1cgjx90IRuO4cVdbxudo1Spcub0Ff37JTT43CoGCiiKRyh/OtZkKuxHTyyF6oxeIlKmg8sdqkkFFjuUPgASwiOrk3kPTsJu0uGRr04bPu+YsJ2Y8IRyZ9pRpZasZHh5GT08PVCoVenp6MDw8XJF1KAUKKorE5Qmh0aSFXqNetb3NZkAgEsdyMFqhlVU33kyZCn19ZyqOzfjgtOpzMgmTsmeUqSCqjUgsgQePzuL6s1uhVW98mXr5WQ4AlRktHR4exr59+zA6OgrOOUZHR7Fv3766DiwoqCgSlye8qklTokPUqqC+isLwb1D+qOeR0uMub05ZCoBUNeWC7kTLz+On5uANxzJOfaTitBpw3mYb/nzMXYaVrWZgYACBQGDVtkAggIGBgbKvRSlQUFEks95Q2qBiRQCLUs+FkOypWFf+0MBfp+WPRILjxGzuQUWzWQe1ilGmogjoTrQy3PviDCx6DV7W25LT8685y4nnxhax6I+UeGWrGRsby2t7PUBBRZG4PKF1kx8A0CYKYE3RWGlBeEOZMhVqROIJRGKJSiyroowvBhCKJnBWFiVNCZWKocWio56KIqA70fITiydw/5EZXLvDua6snIlrdziR4EJzZznp6urKa3s9QEFFEcQTHG5v+vJHi1kPnVpF5Y8C8YVj0KoZ9JrVb1FJDKseSyDHZnJv0pRwkFR3UdCdaPl5+swCFgPRdV4fG3Fuhw0tFl3ZXUsHBweh1a/+/DeZTBgcHCzrOpQEBRVFMOcLI8GxSqJbQqViaLMbqPxRIJJD6VrVSClzUY/NmidmfQCwoTvpWpxWA5U/ioDuRMvPvYdmYNCqkg2YuaBSMbx8uxOPHHcjFi9fFrO/vx+3/s0XoW5wAIyhu7sbQ0ND6O/vL9salAYFFUXgEjUqWq3pPRjabAbSqigQXzi2rp8CELw/ACBQh4JOx2a86LAb15WENsJhoUxFMQwODkJvMK7aVu93oqUkkeC499AMXr7dAZMu9/c5IJRAloNRHBxfKs3iMrDpguux+cM/wkd+dgBnzpyp64ACoKCiKNJJdKdCAliF4wvHYE7zoWKu40zFcZcXZ+WgpJmKs0GPeV8Y8QTppRRCf38/PvCZfxXuRMHgaOuo+zvRUvLc+CJmvWHcdE5mwatMXLm9BRoVK3sJRMoELgdIPgAA8gsFiVUkMxUZgooOuxEubxixeAKaLLPWxGp8odgq23MJKdCoNwGsaDyBEbc/r5QwIKhqJjgw7w+vU30lcmPLJa9E10e2QaNW4V2XdaP/5p2VXlLNcu+hGWjVDNee7cz7ZxsMWuztacRDL83in2/cUYLVpcftE4KKpWB5J0+USsFXOsZYK2PsUTkXU23MekJgDGixpBciarcbEU9wSj8XQDrbc0BQ1JQerydG5/2IxBM5GYmlktSqIGOxghlfDKLNZsQ57Q14fny50supWTjnuOfQDK7obUGDQVvQPq45y4mXZrxlzRBLmYpFP2UqgAKDCsZYI4A7AJjlXU514fKE0WLRZ8xCtCUt0KkEki9CT8X6DxYpU1FvVsfHZoQmzXwmPwDAIalq+iioKJSJxQA6Go3Y3WnHi5PLZW0ErCcOT3kwsRjEjXlMfazl2h1ChuPhMglhBSNx+MIxMAZSTxYpNFMRB/BmAJURW1cILm96jQoJUtUsHG8oU6aiPkdKj7m8UDGgNwcjsVSSpmKUqSiYicUgOhtN2NNpRzAaT07hEPJy76EZqFUM1+8sPKjodVqwudFYtr6KOTFY39xohC8cQ5QCzsKCCs65h3OeMQ/IGNvHGDvAGDvgdpdfOrVcuDxhtG5Qp26TVDWXaaw0X3zhaNqeipWR0vrqqTjh8qK72QyDNjcxIAmp/EGZisIIx+KY8YSwudGI3ZvtAIDnyzxdUC/cc2gal2xpQlMOvjaZYIzh2h1OPH5yDqFo6T8jpNJ2n1PIIFK2okTTH5zzIc75Xs75Xocjv8ayamLWE0KrLXNQYdFr0GDQUPkjT2LxBELRRNrpD4NWBRWrz0zF9tb8shQAYNCq0WDQYNZDgW0hTC+FwLlwJ9rdbILNqMXzE0uVXlbNccLlxSm3Py/Bq0xcs8OJYDSOp04vyLCyjZH6KfrEv80lmgChkdJCicQSmPdHNsxUADRWWgiSt0c6nQrGGMy6+nIqDUXjODPnz7tJU4JUNQtnfFGQ6O5sMoExht2ddhykZk3ZuefQDADghl3FBxWXbW2GQasqi2uplAHsdQhBxTJNgFBQUSjSm2mjngpA6KuYIlXNvPCGhWjfmkHkyaRX19VI6YjbjwTPT0kzFVLVLJyJReGGYHOjUMrcs9mG4y5v3WXKSs29h2ZwYXdjxvH8fDBo1bh8WwseemkWnJdWn8XtDYMxYKsYVNAESJFBBef8apnWUXXMLG+sUSHRZjeQqVieZHIolTDrNfDV0Yf6cZfg+ZGv8JUEZSoKZ2IxAI2KYZP4d7670454guPwVF33qMvK2HwAR6Y9spQ+JK7Z4cTYQgAjc37Z9pkOtzeMZrMuKSuwRD0VlKkoFKlG7cySqWi3G7EUiNKdTR74MjiUSlj0mroaKT3m8kKrZuhpLmyC22nVY9YbKvldWy0yvhBEm92QHBs/j5o1ZeeeQ9MAgFfKUPqQuEYUiSt1CWTOJ8gK2I1iUBGg8gcFFQWSTU1TQhorpRJI7nizZCpMuvoqf5xwebGlxQydprA/V2eDHqFooq76UORiYjGAzkZT8v8Oqx4ddmPZ/SVqkeHhYfT09OBDV/dhduh92H/P/8q2782NJmxvtZR8tNTtDcNh1cNq0EBFWhUAKKgoGJc3DI2Kocm08fhTm00KKqgEkitSFiJTT4VFX1+NmsLkR2GlDyBFVZNKIHkzvhhM9lNI7Om00wRIkQwPD2Pfvn0YHR0FwBFcdGHfvn0YHh6W7TWu2eHE06cX4A2V7kIvBRUqFYPNqKXpD1BQUTAuTwhO8c20Ee12UtXMF6n8Yc7UqKnT1E05yR+OYXwhWPDkB4Ck5wc1a+ZHKBqH2xvG5pRMBQDs7rRhfCGIeRm1P6S7dpVKhZ6eHlkvrkpkYGAAgUBg1bZAIICBgQHZXuPas5yIJTgePzkn2z5T4ZzD7QvDYRGCdrtJV5Keimp7b1BQUSCznjCcOXQqtzYYoGLAFAlg5UxOjZp1Uv6Q1BsLnfwAKFNRKJISbmfT6kyFJIL1woQ8o6Wpd+2cc4yOjsp+1640xsbG8tpeCBd2N6LBoClZCcQTiiESSyT/voRMhbw9FdX43qCgokBcno0luiW0ahWcVgNlKvLAK2Uq0ohfCdvVddOoWezkB7Ai1U0CWPkxviDcSa/NVJzTYYOKQba+inLctSuNrq6uvLYXgkatwib3AXzr/TeU5C5fyvxJQYXdJH/5oxrfGxRUFIjLE0qOmWWj3U5BRT74wjGYdWqoM5SWzHoNgtE44onan2Y4PuOFXqNCV5Mp+5MzYDNqoVOrSKo7TySNis41QYVZr8H2VqtsfRXluGtXGoODg9AbVmeATCYTBgcHZXuN4eFhPPLDQUSWZ0tyl58MKqTyh1Eru/15Nb43KKgogGAkDk8ollP5AxDGSsn/I3d8oVjG0gewMmpaD30Vx1xe9LVaMgZYucAYg8OqJ1OxPBlfDECrZslMTyq7N9vx/PiSLGO65bhrVxr9/f149Ue/BE2DE4wxdHd3Y2hoCP39/bK9xsDAACKh1Tdzct7lS2ZiK5kKneyZimp8b1BQUQCz3tzGSSXa7UZMLgVJJyBHfJH0DqUSJr1gqhWI1H5fxQmXD9udhZc+JBxWPWUq8mRiMYgOuzFtM/buTjsWA1GMLxSfgfzyl78Cpl0duMh9165EPB2X4I3//nskEgmcOXNG1oACKP1dfrryhzcUQ0xGp9LBwUGYTKszZUp/b1BQUQAuT24S3RLtNkPSK4TIji+D7bnEilNpbWcqlgNRzHhC2F5EP4WEw6rHLGUq8mJiMYjODGWn3Z02AMBBGUogvZffhKZXfhTqBgdQort2peHyhPDSjBdXbS+d4WSp7/LdvjC0amGUFBDKH4DQwCkX/f39GBoagrGxFQCD3u5U/HuDgooCmMlR+EqiXbJAJwGsnPCFNy5/mMQGzloWwBoeHsaO7Vsx+rVb8YW3XV10HVhS1SRyZ2IhsE6jQmJ7qxUGrUoWZc37Ds+gafd1OPvjP8Wnf/t8Se7alcajJ4Qxzyv7Wkr2GqW+y3d7BTVNxoRMll3ULFqUeQKkv78fl3zml9jyqbuw6YM/xJU3vk7W/csNBRUFIHXRZ3MolZCCiklq1syJbJkKs1j+qNVMhTRGNjM5AYBjdmqi6AYzp9WAxUAUkZh8qdlaJhCJYd4fWTf5IaFVq3BOu63ooIJzjgeOuHBVXwva7AYs+Oojm7n/uBstFj3O3tRQsteQ7vIbne0AGLq6umS9y5eEryRsJiFTUQoBrHlfGC/rFQKw/Sfcsu9fTiioKACXJwS9RoUGY+YLXyrtdlLVzAdfOAaLXpvxcSngqNWx0lKMkUkffnPUV5ETa91J07G7045DU8uIFlFDPzTpweRSEDfs2oQmsw4LdVAiTSQ4Hjs5h6v6WrKKBxZLf38/vveHv6D7k3fh0WePypoBcntXhK+AlfKH3Pbn0XgCnlAMe7ub0GE3Yv9xCipqDpcnjNYGQzLtlY1GkxYGrQrT5FaaE95QFNYcyh/+Gp3+KEWDmTTBQKqauTGxmF6jIpXdnXaEoomklkgh3Hd4BioGvOLsVjRb9Jjz1/75OTS1jAV/pKT9FKm0S1YJMn/+un2rMxVS+UPuTMWiGGg2WXS4ansLnjw1X1QgW2ooqCiAXIWvJBhjaLcZyVQsBzjn8EfiOTVq+mu0p6IUDWakqpkf0lTHWjXNVPYkHUsLV9a87/AMLt7ShCazDs11kqmQ+imuKGE/RSptolWCnDd18QTHgj+yKqhoLFH5Y0Hs0Wgy6XBlnwPecEzRhnYUVBTArDc3ie5UpLFSYmNC0QTiCZ7R9wNIHSmtzUzF4OAgtPrV769iG8ycDVJQQYFtLkwsBqDXqFalt9fS2WREo0lbcF/FiNuHE7O+pOV3k1nQOZBzJFGJPHLcjV3tDWjZ4HcrJ8lMhYw3dYuBCOIJviqosBq0YAyy+39IfTZNZh1etq0FKgZFl0AoqMgTznleapoSpKqZG96w8Ae50fSHJN9dq42ab3nr27D51o/D0rxJNmEg6QOcyh+5MSG6k25U4mSMYXcRjqX3HXYBAG4Qg4pm8RwtyDw9UCilMLLyhqJ4dnSxbKUPADDq1LCbtLJmKtaqaQKAWsXQYJDf/0OSImi26GAzabGn005BRS3hC8cQiMTzKn8AggW62xem7vssSA6lmWzPAeGP16BV1Wyj5lOn55HYdgV++dCzsgkDadUqNJl1VP7IkfHFwIb9FBK7N9tx3OUt6L143+EZnNthQ4fYyN1sFmrySiiBlMrI6i8jC4gleElHSdPRZjPKOtIvBRUta9RWS+H/Ib0fmsT3x1XbHXhhcjnZa6E0KKjIkxXhq/wyFR12IzgX+jGIzCQdSjcIKqTH/TWqqHnX81Mw6dS4dodT1v06SQArZ6RMRTb2dNqR4MChyfz6KmaWQzg4voRX7mpNbpMuGvMKGCstlZHV/uNumHRq7O1uKmo/+dJuM8jqFJ0uUwFI/h/yBhXz/ggYW5kuubLPAc6Bx0pk6V4sFFTkiaRR4cxRo0KCtCpyQ8pUbFT+AARTp1rMVERiCdxzaAbX72yFUaeWdd8k1Z0b3lAUS4FoRjXNVM7bLChr5lsCeeDIDAAk+ykAoMUiBhUKuAMtlcT1/hNuXLa1GTpNeS89bXaDvOWPNb4fEjaTDssylz8W/RHYjFpo1MLvbPdmGxoMGsWWQCioyBNX0vcjz/JHCTqQa5FcMxUmnaYmpz8ePzmHpUAUr97dLvu+BVMxypRlIxeNColmix6dTca8J0DuO+zC1hYzep2W5LYms9hToYDArxQTSKPzfozOB8pe+gCE8sdSIIqgTNlNtzcMk069rqG80SR/pmLBH0lmsQDB0v2KvhY8emJOkX5SFFTkycyy8Aef9/RHCTqQa5Hcyx/qmsxU3Pn8FBoMGlzZJ38jm9NqgNsXVuQHkZLIZHmeid2b7XmN+C0FIvjLyDxu2LVpVSOo3aiFiikjU1GKCaT94ihpOZs0JdrFmzq5tCrm1mhUSNiN8vdUzPvDyX4biSv7HJjxhHBi1ifra8kBBRV54vKEYNFrsl701mLUqdFk1lH5IwvJoCJL+cOk09TcSGkoGsf9h2dw0zltJUkPO6x6ROO8JDLCtcT4giR8lT1TAQh9FZNLwZwnax48OotYgq/qpwAAlYqhyaxTRFDR39+PK979GRhEIyudzYnvfu/2ohqG9x93Y3OjEVtazPItNEfabPL6L61V05SwmXTwhKKIJ+QL3NdmKoCVwEyJJRAKKvJk1htKzvznS5vNgGkKKjbEG8q9UbPWRkr//NIs/JE4Xr1H/tIHsKKqSRMgGzOxGIRRq173QZ6J3Z12AMALOfZV3Hd4BpsaDNgtimel0mTWKcb/w7Trarz563fiT0em0fahH6Jlz3UF7ysaT+DJU/O4arsjZyViOZFbVVMyE1uL3agF54BHxhKIEFSsfq0OuxHbHOZk9kdJUFCRJy5POGcjsbW020lVMxu+cAxaNYM+y526Wa+uuZ6KO5+fQotFj0u3Npdk/yTVnRvjiwF0Nm2sUZHKrvYGqFUsJxGsYCSO/SfcuGFXa1rfCyFToYzzM70UQrvdiKvPcqLDbsTP/jJa8L6eG1uCLxzDVRXopwCAVpvw3pctU5Gp/CGpasoUVCQSHIuBKJrM672QrtruwFMj8whFlfU5SEFFnuQr0Z1Kh91IAlhZkBxKs32gm3SamvL+8IaieOilWdxyXhvUJTJZWpHqpsB2I4Rx0tz6KQDhvbi91YqDE9mbNR857kYomlg19ZFKs0WviPJHKBrHvD+CDrsRahXD2y7pwhOn5nHKXVgNf/9xN9Qqhst7KxNU6DVqtFj0sjTKh2NxLAWiGwcVMk2ASKWUtZkKALiqz4FwLIGnTy/I8lpyQUFFHnDOMSuaiRVCm80AbzgGT4hq2pnwh2NZ+ykAUaciHKuZpsM/HXUhHEvg1t1tJXsNqbmYMhUbM7EYQGeO/RQSezoFG/Rs78f7D8/AZtTi4i3pdRqU4v8h3fxIDY5v2tsJrZph+C+FjZTuP+HG+Z12NBgyuw+Xmna7PFoVko5I+qBCNBWTKVORVNNMU4q7ZGsTdGqV4voqKKjIg6VAFJF4ouCgQtKqkFPZrdbwhmNJGe6NMOnVSHAgXCMKpXcenEKH3YjzOxtL9hpmnRpGrZp6KjZgORCFNxTLK1MBCBMgy8EoRucDGZ8TjSfwp6MuXHe2E1p1+o/eZrMeS4FoxV0op8WLr9Tg6LDq8cpdm/CbZ8bzHstc8Efw4uRySSaa8kGunrY5X3rhK2BFoEquTMVaNc1UTDoNLtrSmDRoUwoUVOTBikZFcUEFlUAy4wvFNrQ9l5AaOWuhWXPRH8GjJ+Zwy+62tHV2uWCMwdmgp6BiA8YX85v8kJCaNTcSwXpqZAGeUCxj6QMQ7K0BwbCqkkhTapKEOAC8/dJueEIx3PX8VF77euzkHDgHrtpemdKHRJvNmAyWiiGpprlRpkKmCat5X+agAhBGS4+5vJiRUS20WCioyIMVie7CeyoA+TqQaxFfOJbTuK5JJ9mfV39Qcc+hGcQSHLeeV5qpj1ScVj3cBfZUlMJgSmlMiEFFLmqaqfQ5LTBq1RvqVdx3eAYGrQpXbXDH3qwQqe6ppSAYW30DdcmWJvQ5LfjZU/k1bO4/7obdpMV5aaZdykm73QCfDOXnjYKKBvGGSK6gQgouMwUV0ntp/wnllEAoqMgDybej0EyFw6qHRsUoU7EBvnAMlhzqrhbR/rwWJkDuen4KW1vM2NXeUPLXclgLy1SUymBKaeSjppmKRq3CuR22jBMgiQTH/Udm8PLtjg3l15ViKja9FILDol+ll8IYw9sv7cYLE8s5j89yzvHoCTde1ttSsgbkXJFLq0IKKpot6y/0GrUKVoMGyzL1VGxU/gCAs9uscFj1iiqBUFCRB5LvR7oINRfUKobWBgONlW6AN5RbpkKSx632CZBZTwh/OT2PW3e3l2V+32k1FNSoWSqDKaUxsRiEVa+BzZh/Q+HuThsOTXnS9kM8P7EElye8YekDWLlQVXoCZGo5mCzXpvK6Czpg1KpzHi897vLB5QlXbJQ0FblUNd2+MGxGLfSa9MGh4FQqz/mb90Vg1qlh0KZ/LcYYruxrwWMn3LIKbhUDBRV5MOMJwW7SZjzBuUBjpRvjC0dz6qmolfLH3S9Mg3OUdOojFYdVD28olvdse6kMppTG+EIAHY25a1SksrvTjkgsgWMz3nWP3XfYBY2K4bodrWl+cgVpdHC+wv4fk0vBVf0UEg0GLV57fjvufH4Kyzmk+KXJhEpIc69FzkzFRjeWjSadbNMfC/5wss8mE1f1ObAYiObtlFsqKKjIg2KEryTa7AbqqchALJ5AKJrIafpDymZUe/njrhemcHZbA3qd1rK8XlKrIk8L9FIYTCmRicVg3v0UEpJC5tq+Cs457j88g0u3NsNm2jgDIvl/VLL8wTnH9FIIbbb0n3X9l3QjFE3gt89OZN3X/hNu9DktyQt6JXFa9VCrWNFaFZkkuiVsRi0W5WrU9EfQZNo4qLhCzAI9qpC+Cgoq8mDWU7hEt0S73YiZ5RASCklVKQkpQMhFp8Ik1qWrufwxvhDAc2NLJXEkzURSVdOX393a4OAg9IbVF4ZiDaaUBucc44uBvPspJDY3GtFs1q3rqzg568PInH+d10c6lOD/sRSIIhiNpy1/AMA5HTbs6bRj+KnRDXU5QtE4nj69UPFRUgmNWoVWq77o8nMmMzEJu4z254uB9b4fa2mx6HFORwP2H1dGXwUFFXngKkL4SqLdbkQ0zpOzzsQK3rAQ3Vtz6KlYyVRUb1Bx1wvCaN4t55Wn9AEUnqno7+/Hpe/8NHR2J8AYNDYnvv2d7xVlMKU0FgNRBCLxvDUqJBhj2N1pXzdWet/hGQDA9Ts37qeQaDLrKlr+mEwKX2UOrt5+aTdOuf14cmQ+43OeOr2AcCxR8VHSVNrsRnkyFRsFFUb57M8XfOt9P9JxZZ8Dz44twqsAYUUKKnIknuBw+8IFj5NKtIspRXIrXU+uDqVASqNmNQcVz0/j/C57wen2QnCK5bt8J0CWg1FMtlyIz/70z3h6ZA4dH/ohms67thRLrBiSO2m+apqp7N5sx4lZ3yr9lPsOu7Cn045NGcoJa2k26yta/pC0HKTGxnTccl4bbEbthg2bjx53Q6dR4ZItpfGyKYQ2m6EorQp/OAZ/JJ4lU6HFcjBadDaac455fyTtlMlarupzIJbgeOJU5iCvXFBQkSPz/jDiCY5NMmQqANAESBp8OTqUAoBOo4JWzeDPU91PKZyc9eLotKespQ9AuAtWsfyluh844kI0znHLeW24sKsRHXYjfn9wskSrrAwr46SFB3m7O23gHHhR9AGZXArixcnlrFMfqTRZdBXVqZjKIVNh0Krxxgs34/7DruRU3Fr2n3Dj4p6mDUdoy0272ChfqLy/lGFO51AqYROdSiXH5UIJROIIxxI5ueVe2N0Is06tiL4KCipyREoXO2ULKihTsRZvHpkKQMhWVGum4s7np6FiwM3nlq/0AQhjzS0Wfd6mYn94QZAR39Nph0rF8Oo97dh/Yq7iUwpyIglfbW4qLlMBrChr3i+WPnLpp5BornBPxdRSEDqNKq3fRCr9l3YjluD45V/H1z02vRzEcZdPUaUPQMhUhGOJghspNxK+kmhM+n8Udw6TGhVZGjUB4Sbrsm3NiuiroKAiR4oVvpJoMGhg1qlpAiQNUoCQS08FAJh1mqqc/uCc4+7np3Dp1uaig9RCcDbo88pULAUEGfGbz2tLjlq+Zk874gmOP744Xapllp3xxQBsRm1RpleNZh26m03JZs37Ds+gz2nBVocl5300m/VYDlbO/2NyKYh2myHrWO2WFjOu7GvBL54eQ2zNWh8VL25KGCVNRZpCKfSmLhlUbJCpkJxKi50AySZ8tZYr+xwYWwjgzJy/qNctFgoqcqRYiW4JxlgyBUesRip/mHMNKvTqqsxUHJ7yYGTOj1vLXPqQcFjyU9W8/7ALsQRf1VC6Y1MDdmyy4ncH8/OBUDKC5Xnxo4+7N9vx/PgSFvwRPH16Ia/SB5Di/1GhbMX0cmjD0kcq/Zd0Y3o5hIdeml21ff8JN5xWPc5qLc+odK4kBbAKDSp82TMVctmfJ4OKHHoqgJUArtIlEAoqcsTlCYGxjWtpuSIEFdRTsZZ8GjUBQQCrGkdK73p+ChoVw415Xmzkwmk15BVU3P3iNLqaTDi3w7Zq+6v3tOOZ0cVkg2O1M74QQGcR/RQSuzvtmFoO4RdPjyHBkXdQ0WKurKrm1FJ6Nc10vOJsJzY1GPCzp1ZE0OIJjsdOzuHKPkdZVGLzISmAVWCz5pw3DBXbOHtgMwqPFSvVvZHteTp6mk3obDLikQqXQCioyBGXJ4Rmsz6jZXE+tNsNRY811SJSY1Mu4leA0NBZbZmKRILj7hemcdV2Bxpz/LCQG4dVj3lfOCdZ3wV/BI+fXF36kJCaTO/M07VSiXDOZctUTD/zACa++x589NrtmLn9vXjhkbvz+vmmCvp/xOIJuDyh5JRaNjRqFd5ycSf2H3djdF5Iu784uYylQFRx/RSAcIHWqVUFl5/dvjCaLfoNfUxWMhXFlj+EwD/X8ocg2e3Ak6fmEIlVpnQGUFCRMy5PqOjSh0S7zYg5XyRvqeRaxxeOwaxT52w8JJQ/qut3+Nz4IiaXgmWT5U6Hs0GPBBcmmrJx3+EZxBM8bUPp5kYTLuppxO+emyy4m14pzPkiCMcSRY/3Dg8P46uf+XvEPW4AHOGl2byN16QRwkpo2bi8YST4xpMfa3nLRV1Qqxh+LmYrHj3uBmNQjOhVKioVwyaboWCpbrc3nDVbLfnGFB9URKFVs5ym4SSu6nPAH4njubHFol67GCioyBE5hK8kpD/YYualaxFfKJZz6QMQGzWrrPxx58Ep6DWqnIWQSkFSVTOHEsjdL0yhp9mU0UH11Xs6cGLWh5fS+F1UE+PS5EeRmQo5jNeaRbGjSmQqchknXcsmmwHXn92KXx0YRygax/4TbpzTbsv5DrvcCFoVhTdqZjOU1KpVsOo1Mkx/hNFk1uVVQrq8txlqFauoFToFFTky65UvU9EmNgtNU7PmKnyR3BxKJaptpDQWT+APL07jurOdeR2n3CRVNbMEFXO+MJ48NY9bzsvsoHrzuW3QqBh+V+WaFXJoVADyGK/ZjFqoVazCQUV+N1Bvv7Qbi4EofnVgHM+OLSmy9CFRTE9bNt8PCZtJK0OmIjc1zVQaDFpc0GWv6GgpBRU5EI0nMOeLJNUIi0Vy/yNVzdX4crQ9lzDp1VUjfjU8PIzNXd145nOvxG8/8Zq80uFyI72P3Vmkuu89NIMEB27eQEa8yazDVdsduOvgVFX72UjNpsVmKuQwXlOpGBpNWsxVQABLutjmawB2+bZmmMaexPtuugQjX70F33jv9RV9j29Em80AlyeUt1U454KqcrZMBSCP/fm8P5Jzk2YqV/Y5cGhquWIaMhRU5ICUJs5VZjcb0n5oAmQ1vnB+5Q+LToNILFGxef5cGR4exr59++CamgDAMTs9mXedXU4cSVOxjT907n5hCtscZuzYtPFY4Gv2tGNqOYS/nlmQbY3lZmIxiCazLudx5kwMDg7CZFqd7SjEeE2Q6i7/RWFqKQi7SZv37+EXv/g5Tv3PNxBbngXAMTM1UdH3+Ea02Y2IJfL3XxK0Q3huQYWxePtzIVORf1Bx1XYHOAceO1mZbAUFFTmwInwlT/lDr1GjxaKnCZA15JupqBb/Dznq7HJi0KphNWgyyisDQrnvqdMLuHmD0ofE9TtbYdSq8fsKTIEMDw+jp6cHKpUKPT09BV/EJhYDRXl+SPT392NoaAjd3d1gjKG7uxtDQ0N5G68JpmKVKX+0F2BTPjAwgEh49edZJd/jG9FuK0yrYi4HjQoJm0mLZVnKH/kHFed22JA48Sjecf1FRf9dFAIFFTkgCV/JVf4AgA67gcofa/CFY7Doc1czNOsl+3Nll0DkqLPLjdOq3zBTcc+LM+A8NwdVk06DG3a14o8vTpd1lE3KAI2OChbco6OjBd8dC+Ok8hi79ff348yZM0gkEjhz5kxBTq5NFl1leiqWQ3n3UwDKfI9nolCtitkc1DQlGk3FOZVGYgl4Q7GCgopf/uLnmL77W/DOTRf9d1EIFFTkgOSTINf0BwBS1UyDNxSFNZ/pjyrJVMhRZ5cbh1W/of35H16YxvZWC7bnqIj42j0dWApEsf94+brO5coAJRIckzJpVMhFS4X8P/IRvkpFie/xTBSqqrni+5H9Qm836rAUiBTcZ7QYyE+iO5WBgQHEIqsDpnJmjSioyAGXJwS1ihXUNJOJNpsR08uhqp/vlwvOOfyReH7lD111BBWDg4PQ6lcHpIXU2eVkI1XNmeUQ/jq6gJvPzV1G/Iq+FjSZdWUtgch1dzzrDSMST2BzGS3os9FUAf8PfziG5WC0oKBCrl6ScmAzamHUqvPOVKz4fmS/ubSbtEjwFZPEfJFKX4VccyqdNaKgIgdcnjCcVj1UOYoy5UK73YBAJF60lGutEIomEE/wvBrEVjIVyi5/9Pf346K3fwrGxtai6uxy4rAKpmLpgto/vjgNnmXqYy1atQo3n9uGB47MJOXWS41cd8cTMmlUyElzBfw/pB6vtgIa0uXqJSkHjDG0FaBq7PaFoVOr0GDM/hklCWAV2leRr5lYKpXOGlFQkQMuT0h2N0kaK12NNyz88eUz/WHSST0Vys5UcM7h77oMf/f9+4uqs8uJ06pHMBpPGwD84cVp7NhkRa8zd2dNQJgCCUUTeODIjFzL3BC57o4ljQo5fD/korkC/h+T4jRaRwGZCkCeXpJy0W7LX6tCEr7KRYzKXqT9+UIR5Y9KZ40oqMgBlyeE1hw6fvOhTVLVpLFSACsOpbnangNIlkqUXv6YXApiKRDFrnZb9ieXCWdDegGsqaUgnhldzKlBcy0XdDWiw27E754rTwmkv78fX/1//wl1gwMAg7rBgc9/7Vt5X8zk0qiQE+liUs4JkELUNKuVQlQ13d4wWnK8DhTr/7Hgy8/3I5VKZ40oqMgBOSW6JZLNQjRWCiDFobQGR0oPTXoAAOd0KCeokOrCa6W6//jiNADg5vPyt2VXqRhes6cdj52cK5tvxe6rb8HmD/8I9x2awtaP3oFg12V572NiMYgWix4GrboEKyyMZnHCIBd/FrmYWgpCxVZk3GuZNrsRs95wXj0rc75ITpMfgDD9AaDgCZAFfwSMrWQ88qWSWSMKKrIQigp9D3JpVEi0mPXQqVVU/hCRMhV5eX9UyUjp4allqFUsq4hUOcmUqbj7hWnsam/AlhZzQft9zZ4OxBMcf3hhuug15sKI2wcAOL+rEa/Y6cSdz0/lPdY6vhhAZ5Oy7s6bK+BUOrUUwqYGAzQyODErnXabAZyvaBDlQi6+HxJJ+/MCVTXn/RE0mnQ5mysqidp/9xSJNHYnd09FsW55tUYhmQqjVg3GqiFTsYw+p0VRd8LSHVdqpmJ8IYCD40u4pYAshcRZm6zYscmK35fJC2TE7YfVoEGLRYfbLtiMBX8Ej+Q51iqnRoVcSP4f5S5/1EPpA0gpP+c4ARJPcCz4w3BYcsscSI2aiwWWPxYDhQlfKQEKKrLgEjUqNskcVABCCYS0KgQKCSoYY4JTqcKnPw5NebAzg8tnpbCbtNCpVUkNFiCl9JHG5jwfXrOnA8+OLWFsPpD9yUUyMufDVocFjDFctd2BFosOv31mIuefjyc4ppaCsqhpyong/1FerYqp5WDyYlvr5KuqOe8XLOFzzVToNCqYdeqCeyrmfRE0FVj6qDQUVGRhRaJb3qBieHgYfxy4Db/9yBVll1FVIsmgIo/yByCUQJScqZj1hOD2hnGOgpo0ASEgc1j1q0zF/vDiNHZvtqGrubi79lt3C0HJnc+XPlsx4vZjm1iq0apVeM2eDjz4kivnUcwZTwixBFdcpgIQSiDlMoVKJDimC1TTrEbyzVSsCF/lXga3m3SFT38UKNGtBCioyIIk0S1nT4UkL+ydmwZQfhlVJeIN5Z+pAIRmTZ+CR0oPTymvSVOiJUWqe3TejxcmlvPSpsjE5kYTLu5pwu8OTpVU3C0QiWF6ObSq/+O2CzYjGue464XcJlAmxMkPpfVUAELnf7l6Kub9EURiiYLHSasNi14Dq0GD6RwzFYUEFTZj4f4fC/4ImnIstSgNCiqyMOsJQadRJWtkcqA0gykl4AvHoFUz6DX5vSXNOg0CCs5UHJpcBgDFlT8Aoctf6hn6g1j6eFWRpQ+JV+9px8lZH45Me2TZXzpOz/kBAFsdK3oaO9sbcHZbQ84lkHFRo0KRmYoy+n9IZYB8Lc+rmXabEVP5ZipyUNOUaDQX5v+RSHAsBgqzPVcCFFRkweUJobUhN8GTXKm0jKoSkRxK8/09C+UP5fZUHJpaxtYWc94ZmHLgSMlU3P38NM7vsst2cb353DZoVAx3HiydZsWIWwoqVk+q3HZBB56fWMbJWW/WfUwsBsAYFJn2bzbryjaaK2k2KPH3UCryUdWcExtmW3Lw/ZCQ/D/yZTkYRYIXplGhBCioyILLE0arjO6kQGa5VEvzprK6PCoJfziWdz8FIGQqlKyoeWjSg10KLH0AQqZiwR/BcZcXR6Y9RTdoptJo1uHl2x248/mpgk2VsjHi9oMxrBt/fc2eDqhVDL99NntPx/hCEK1WA/Qa5UzmSDSZ9fCEYmXx/yhWTbMaabMZc56+c3vDMOvUMOly/4yymbQFNWrOFyHRrQQoqMiCkKmQN6hIJ6Oq1Rugu/RteMcPnioouq12vOFY0iAsH8x6jWIbNRf9EUwuBXGOAksfgGAqBgA/fuIMgPy8PnLBNvUU/vqvb4VGoy5JM/LInA/tNuO6UV2HVY+Xb3fgf5+dRDxLQDOxGFCUkmYq5fT/mFoKwqhVy1rmVTrtNgPm/RGEotkznW5f7hoVEnajUP7It6+oGN8PJVBwUMEY+wFj7EnG2GflXJDSEHw/5BW+Siej+qMffB8/+PLf47mxJbz+O0/gjFgvrhd8oVhetucSZr1aseJXUpOmkuS5U5E+JP/n2Qns7W6UtZ4+PDyM7w1+EnGPG5yXphl5xO1fV/qQuO2CzZjxhPDEqbkN9zGxGESngtxJU5Fq6nNl0KqYXg6i3W6QtcyrdKQJkJkc+irc3lD+QYVJi3iC522wt+AvXKJbCbBCurMZY68H8GrO+bsZYz8E8FXO+Yl0z7VarfzCCy9cte1Nb3oTPvKRjyAQCOBVr3rVup9597vfjXe/+92Ym5vDG97whnWPf/jDH8ab3/xmjI+P4x3veMe6x//xH/8Rt956K44dO4YPfvCD6x7/7Gc/i1e84hU4ePAgPv7xj697/F/+5V9w+eWX408P78ct7/wbdDWZVonCfPOb38SePXvwpz/9CV/5ylfW/fztt9+Os846C3fddRe+/vWvr3v8pz/9KTo7O/Hf//3f+O53v7vqMW8ohsjL/w4asw2vNh3HI3f/Zt3P//GPf4TJZMJ3vvMd/OpXv1r3+MMPPwwA+Pd//3fcfffdqx4zGo245557AABf/vKX8eCDD656vLm5Gb/97W8BAJ/+9Kfx5JNPrnp88+bN+NnPfgYA+PjHP46DBw+uenz79u0YGhoCAOzbtw/Hjx9f9fiePXvwzW9+EwDw9re/HRMTQkPdi5PL0KpVeM/rbsBXv/pVAMBtt92G+fn5VT9/3XXX4XOf+xwA4KabbsJLE/OY9YZwUU8TAOCWW27BP/3TPwEArr766nW/m3K+92598zsxthDA3u4maNTCh3Wu770nnngCn/nMZ9Y9Lud779Of/TxOnz4NxKPQaHXo3bYVjz76KFpaWvDjH/8YP/7xj9f9fK7vvcbGRiwtLa17vLu7G2fOnCn6vfd3f/d3+P7v/wyHVY+eZiGwSH3vve/9H8B//+kp2E26pDHa2vfe+PgEnj49j/ZGIzobTbjsssvyeu8Fg6vr8XK/97yhGA5PLePstgbYjNqSfu4dmlzG3jd8BPd+9QNlee+t/dwDgN/85jeyvPdy/dzzBKM4Mu3BzrYGbNm8acP33kteLV7/D/+K7/RfmPPnntsbxim3D+d3NeKSvRek/dyTSH3vXXzNTXjh1AQu6GqETmxcL/d7by1r33uPPPLIM5zzveueiMIzFVcDkM7q/QCuSH2QMbaPMXaAMXYgGq1ea28p7ajLcyKhGKwGDe5478VoNOlw+yMjZWvUqjTxBC9IklatYllT3JXCH4lDr1EnAwol8dhjj2F05CQQF/4+Y9EIjh8/jt/8Zn0QWwjpAgpAvmbkYDSOeILDmEGlVK1iaLYIPSOZ3h+ReAIcUGQ/BYDk+6YcPRXhWAItOfpa1ArS53o4hz62cDSes++HhEb8PIvlef4i4vOV+LmRE5zzvL8A/ADAbvH7GwB8KtNzL7zwQl6tPH7Szbs/eTd//KS77K+96A/zN33vCd79ybv5/3vgGE8kEmVfQzm58MsP8E/99oW8f+72R07y7k/ezb2haAlWVRzX/Nuf+b6f/LXSy0hLd3c3B7Duq7u7uyr2L/1t7j8+m/E5z4wu8O5P3s3/+69j6fdxQvz7PlH+v+9cWPCFefcn7+Y/eHSkpK8TisZ49yfv5t984HhJX0dpBCPCcX/7wY2PW/r9ZHveWp4amefdn7ybP3o8v/fXF+88xHd9/t68fqbcADjAM1zzC70F9wGQ6gEW1GjD52xS+Kr8Y1Z2kw4/fd8leP0FHfjmn07gH371PO746U/R09MDlUpVcyqc/nChPRXKdCr1hqIYmfMrTklTotRjzemakU0mEwYHB2XZ/8o4qSXjc87vtGNLizmjZsWEgjUqgBX/j1JrVbiWhc+5ehonBQCDVo0msy6rVoXU01JITwUg+HjkQzWraQKFBwPPYKXksRvAGVlWozBKJdGdKzqNCl9/42780w3b8dOf/Qzve/8HMDo6WrLGt0oRiycQjMYL0nKQJkaUFlQcnRY0EpSopAlkHmvOtD1fUpuRAQZDYyuGhoZks2A+PeeHQatC2wZ/m4wx3HZBB546vYDxhfU+JBOLAaiYoFegRFb8P0pbApWckutpnFSizWbIqqopCV/lWx6yGwuzP6/XoOJ3AN7BGPsGgDcB+INsK1IQLo8wm1xJ4SLGGD56bR9Uz/wS8cjqD5daUeGUxKvMhQQVyUyFsiZAJCXNXR3KHCctdSYBEAKLM2fO4N/uPYr2D/0Qt73pLbLte8Ttw5YWC1RZ+nBed8FmMAb8TxrNivHFINpsRmgVbPUt+H+UNlORVNOsy6DCmNX/oxCJbgBoEIOKfO3P533Vq6YJFBhUcM49EJo1/wLgGs75spyLUgour/waFYUyN5NembAWVDi9YSGStxYUVAhNdvmObZWaQ1PLcFj1SS0IpZFurFnOTEIqu9obEE9wHJvJrnCZKyNzmcdJU+mwG3HZ1mb8z3MT6/QCJhYD6FCoRoVEOaS6JVXJNpsy36ulJBen6EKDCoNWDaM2f6fSxUAEjfUWVAAA53yRc/4rzvmMnAtSCsPDw/jxx16FP3/iWkX0L5Q6XV1JCnUoBVbKHwGFqWoenvQoVvRKQsokJBIJnDlzpiQBBbDieyKXD0g4Fsf4QiDpTpqN2y7YjNH5AA6MLq7aPr4QRKdC+ykkmsyltz+fXAqhxaJbJyJWD7TZjPCEYhuWT6Wgotmc/3RMoyk//w/OOeb9dZipqHUkF9HAggtKcREtR7q6UvgKdCgFVsofSspUhKJxnHT7FNtPUW46G02w6jU4PCVPQnNsPoAE37hJM5Ubz9kEk06N/3l2pWEzHIvD5Q0pVk1Tohz251NLwboyEktFak7dyAPE7Quh0aQtSFrAZtLllanwR+KIxBJ12VNRUYaHh0s6BaFEF1EpXW13tgNg6OrqKlm6utwUlakQyx8BBalqvjTjRTzBFaukWW5UKoaz2xpwZEqeTMWpDEZimTDrNbjpnDbc/fx0UpJ5eikEzqFYNU2JZovg/1FKTyBJTbMekYKpqQ08QOa8kbxLHxJ2ozYv24UFX3VLdANVGFRIWYRSTkEo1UW0v78fP7z3KXR/8i786elDNRFQACtBRWE9Fcqb/pCaNM9RaJNmJdjZ3oCj015ZhMpG5nwA1huJbcRtF3TAG47h/iMuAMD4onDToPRMhXRxyXcsMVc455hcDK5SDK4npD6SjTMV+ft+SNjzLH8siOdZ8n2pRqouqChHFkHJ/Qu9DisA4OSsr8IrkQ+p/FHI9IdJrAMrafrj8NQy7CZtXY7oZWJXewOC0ThOy+BpM+L2w2HVw2rI3fzq0q3N6LAbk5oVKxoVyj5HUm29VBMgnlAM/kgc7XVa/thkM4CxjTMVbm+4YLVRe55OpZLvR6OJgoqyUY4swsc/9Xkwzeo3kVL6F7Y5hbuzmgoqiih/aNQqGLQqRdmfH5r0YFd7Q12ZM2VDzmbNEbcPW/PIUgBCCeZ153fg0RNuuDwhjC8EoFExbFLIdFcmmsWLWam0KqQ79HrNVGjVKjgs+oyZCs453N5w3hLdEjajDsvBSM5OpVLwWEhTqFKouqCiHFkEd+tFcL7qb7G5s7Pk43b5YtJp0GE34pS7doIKr5SpKMD6HBAaPJXSqBmJJXBsxqtYJc1K0ee0QqtmsjRrnp7z59ykmcrrL+hAggO/PziJicUg2uwGaBSsUQGslD9KNVYqjVPWa08FIOhzZNKq8EfiCEbjBZc/Gk1aROM8556vpO05lT/KR7opCKPRKFsWYc4Xxq+fmcB73vV2jI+NlXzcrhC2OS04WUNBhS8cg1mnLshQDBACrYBCgooTs15E4gnsosmPVeg0KvQ5rUU3ay76I1gMRLEtxybNVLY6LLigy47fPjOJ8cWA4sdJAaDFUtryx6SY9q/XTAUAtNsMSVXRtRSqUSEhSXXn2lex4I9Ap1HBrKve8d6qCyrWivZoGpy47gOfk+2i/5MnziAaT+D9V26VZX+lYJvDjFOzfiQU6s6ZL/5wrKDSh4RZr4FPIT0Vh8WLptI1KirBrnZhAiTXVHA6pCbNXCc/1rLJfQAPfvEN+N3fXIk/fOb1FdefyUaDQfD/KFn5YykIrZoVnN6vBdpsRnEaaP37stigwmYUG21zzDQtiBoV1Vw6rbqgAlgt2vPpnzyIo+bdmFhcr+2fL/5wDHc8OYrrz27FtgLSq+Wi12lBMBrH1AYdy9WENxwrSgrdrFMrRvzq8OQyzDo1epoLu+jVMrvaGzDvj8DlKfwCmRwnbcn/73N4eBg//tpnEPe4AXB45qYrrj+TDcn/o5Tlj002Q1a581qm3W5AMBrHcppswpxPnkxFun2nY8EfqeomTaBKg4pUPvTybWAM+N4jp4re168OjGM5GMUHX75NhpWVjl4x4KmVZk1fqMigQq9RzEjpoSkPdrXb6vpDOhM7xT6TI9OF91WMuP3QqllBUxsDAwMIBpWlP5MLLZbS+X9MLYXqVvhKYiOtikLNxCSS5Y8cJ0Dm/ZGqHicFaiCoaLcb8YYLO/Grv05gJosxzEZE4wl8/9HTuKinERd2N8q4QvnpddZYUFFk+UMpjZrxBMeRKY9iTcQqzdltwjj04cnC+ypG3D50N5sLarBUqv5MNkop1T21HKz70ee2DVQ13d4w1GK2qBDsYvljKZh7+aOaha+AGggqAOAjV29DgvOishV/fHEak0tBfPAqZWcpAGHMrNGkrZkJkGIzFSadWhGKmqfnfAhG46SkmQGrQYvuZlNRY6Ujc/68RK9SUbL+zEY0mUtT/ognOGaWQ3U9+QEgqdExleam1O0No9msK7iJPN9MBQUVCqGzyYTXnd+BXzw9hllv/tkKzjm+98gIep0WXLvDWYIVyk+v01JbmQp97kJGazErJFNxSLwDJyXNzOxqb0g2s+ZLLJ7A6Hxu7qTpqFb/nBaLviT+H25vGLEEr/vyh8Oqh0bFMJ1mAqQYNU1AcCo1aFU5SXWHY3H4wrGqNhMDaiSoAIC/uaYX0XgC/7V/JO+ffezkHI5Oe7Dvqq1VUwuvtaDCWtT0h5CpKGaqQA4OTS5Dr1Ele16I9exqt2FsIQBPKD87aACYXAoiGufYVkCTJlBeu3c5aTLrSuL/ITV613v5Q61iaG0wpNWqcHuLCyoAoQSSS6Zi0S88p5ptz4EaCip6Wsx4zZ4O/OwvY3lH9bc/MgKnVY/X7Gkv0erkZ5vDgsVAtOQOhqWGcy5mKopr1IwnOMIlNF3KhcNTHuxoa1C8oFIl2dkmZHGOFpCtGMnTSCwd5bJ7l5NS+X+sCF/Vd1ABCBMgU+kyFUWoaUrk6v8hjQ1TpkJB/M01vQjF4vj+Y6dz/plDk8t47OQc3nvFFug11SM4UivNmqFoAvEEL8j3Q0JS4qzkBAjnHIemlkmfIgu7xN9PISUQqYeoEDXNakYSwJqT+QZCuoi21XlPBSBqVazJVCQSHPP+4jMVNqMWyzlkKpJqmlUs0Q3UWFDR67Tg5nPb8JMnzuRsN3v7/hFY9Bq87RJlN2utJRlUVHmzpjcs/LEVK34FVNZUbHwhCG8ohnNISXNDHFY9Wiy6gpo1R+b8sJu0Vd/Ili/SRUbuZs2ppRCseg0a8jBmq1Xa7AbMLIdWCQouB6OIxnnB46QSQqYi+7lbCSqq+/1dU0EFAHz02l74I3H88PEzWZ87vhDAH16YQv8lXVX3h9VuM8KoVePUbPGuj5VEcigtxPZcwqIXMkyVbNY8JHpakOfHxjDGsLPdVlCmohAjsVqgVP4fU0v1a3m+lnabEZF4YtXorrtI4SuJRlNuPRXS+aXyh8LYsakBN+7ahB89fjprM9j3Hx2BWsXwnpdtKdPq5EOlYtjmNFd9piLpUFrUSKnws5VU1Tw0uQyNimH7pvpKzRfCrvYGnHB5EY7ll1kacRdmJFbtrJQ/ZA4qloN1P04q0WZbr1VRrES3hE20P8/WSL7gj0DFhHJJNVNzQQUgZCu8oRju2CBbseCP4L8PjOO1ezqwyVadf1jbHBacqvKeimJszyWk8kdlMxUe9LVaq6ovp1LsbGtALMFxwpX7e9cbimLWGy5Yo6Kakfw/FmT2/5haCqGNMhUAVppVU1U15Qoq7EYdIvEEgtGNg+h5UaK7WiYQM1GTQcU5HTZct8OJHzx+OuOF5qdPjiIUTWDfVco1DstGr8OCyaWgYiSqC0EqfxQ3/SFcyCslgMU5x+FJatLMFalZMx/H0tNzQpmvEHfSakelYrILYIWicSz4I3U/TipRykxFrgJYC77qF74CajSoAICPXdeHpUAUP31ydN1jwUgcdzx5BtftcKKv1VqB1cmD1KwpjdpVI3KUP6Tpj0plKlyeMOb9EWrSzJGeZjNMOnVezZor46T1V/4AhDq7nOWPlXHS6szSyk2TWQe9RrVqAsTtC0OvURXV7wUAdmOOQUWAggpFs6fTjqu2O/D9R0fW1dp/88w4FvwRxRuHZWNlAsRb4ZUUjhzlD4u+siOlhybFJk1S0swJlYrh7LYGHJ7K3VhsZM4PFQO6m03Zn1yDyJ2pkNL89a6mKcEYQ5tttVbFnCh8VawNuU3KVGSZAFmoATMxoIaDCgD4u+t6Me+P4OdPrRgGxeIJ/Nejp3F+lx0X9SjbOCwb3c1mqFWsqrUqvDKUP0wVLn8cmloGY8DZbRRU5Mqu9gYcmfKsGuHbiBG3D5sbTXXbs9Js0csbVJCa5jrWalW4feGix0kBJM3IsmlV1ILtOVDjQcWF3U24fFszbt8/gpDYJHPv4RmMLQTwwau2FR2BVhqdRoXuZlNVBxW+cAxaNYNeU/hbUa9RQ6tmFSt/HJr0YJvDkpxCIbKzs60B/kgcYwuB7E+GNPlRf/0UEkL5Q75GzamlIBgDWhuo/CHRZjes8v+QQ6IbWOmpWNwgqIgnOBYDkaofJwVqPKgAgI9d2we3N4xfPj0Gzjluf2QEW1vMuH5na6WXJgu9jur2APGLEt3FBngmnQaBCgUVh6eWk82HRG5ITq656FUkEhyn5/zYWqDnRy3QZNbBK6P/x9RSEA6LHroigvlao91mhMsbRlzMnskWVORgf74UiIDz6he+AuogqLh0axNaZ/+KD95yKdRqNe757OtxduCFgq1slUav04LR+QCi8cr6XhSKLxQrqp9CwqLXwFcBRc05XxjTyyESvcqTvlYLNCqGI9PZ+ypmPCEEo/H6zlRY5BXAml4OkfDVGtrsBsQTHLPeEKLxBBYCkaJ9PwDAoFVBp1FtWP6QfF2aZHi9SlPzQcXPf/5zPP+L/4vI0iw454h73Pjx1z6N4eHhSi9NFnqdFsQSHKPz1TkB4g3HktMbxWDSqSsifiXdae+iJs28MGjV6HVacspUyGEkVu1IafF5mbQqJpeC1E+xhnbbilbFgl/IHMiRqWCMwW7Ubjj9MS9O9jRRT4XyGRgYQDi02n0uEAhgYGCgQiuSl2o3FvOFirM9lzDrNRXpqZAmGHZRpiJvdrY35BZUzIlGYnVd/pDP/4NzjqmlYFKbgRCQjNWml4OyaVRIZPP/qBXfD6AOgoqxsbG8tlcb2xxVHlQUaXsuYdFrKjJSenjSg64mU9VL61aCnW0NcHvDmPWGNnzeiNsPs06N1obqTw0XilT+mJdBq2IpEEUomqDyxxqk8drppVDS90OO6Q8AsGfx/5A8R2iktAro6krvPpppe7Vh1mvQbjPgVJUKYPnCMVhkMHMTyh/l76k4NLVM+hQFImV3silrjsz5scVhrvpprWJYKX8UH1RMJoWvKKhIpcGggVmnxlRKpsIpV6YiS/lDylTQSGkVMDg4CJNptWCOyWTC4OBghVYkP9uc1TsB4g3Jl6kod/ljORjF6HyASh8FslOS686irCm4k9Zv6QMQ/D80Mvl/kJpmehhjaLMbhUyFV+5MRfbyh9WgqYlpnOo/giz09/djaGgI3d3dYIyhu7sbQ0ND6O/vr/TSZGObw4JTbl/OQkJKwh+Wp6fCpC9/pkK6w6Zx0sKwGbXY3GjcsK8iFI1jcilY102agKBC2mjWyVL+mKJMRUbabIZkT4VVr4FRJ4/YWrbyx4K/NiS6AaAu1Hr6+/trKohYS6/TgkAkjmlPqKo6umOic58cmYpKNGpSk2bxSMqamTgz7wfn9ev5kUqzWSdL+WN6OQSdRlUTQkty024z4qUZLzb75NGokLAZtQjHEghF4zBo1wcqtRRU1Hymoh6o1gkQv6grYZaj/KHTIBJLlFWv49DkMjY1GGT98Kk3drbZcGbenzEgTI6T1qHl+VqaLfL4f0wuBdFuM9R1j0om2uwGzPnCmFoKokXGv2upVyJTtmLeXxtqmgAFFTVBtQYV3rDwB1asCyAAmMR9BMoggDU8PIyenh58660X4tA33l4zmieVYFd7AzgHXsrQVzHiFt7TWyioQJNZj3kZpLqnloJU+shAu80IzoGj0x5ZbxbsWUzFFvxhylQQyqHZrIPdpK26oEIOh1IJi2gq5iuxANbw8DD27duH0dFRABz++Rns27ePAosCkUTDMjVrjrj92NRgkCWbVe3IWf6goCI9klZFKJqQRU1TQrI/X/Svz1RwzrHojya1SKodCipqAMYYeh0WnKq2oEIGh1IJycyr1P4fAwMDCARWm2DVkphaudnUYECjSYvDk+mDilNz9W0klkqz6P8RjhWejYvGE3B5Qmgn4au0pFrBy9pTIWYqltNkKnzhGCLxBJrMtaF1Q0FFjdDrtOCku8qCClkzFZpV+ywVtS6mVm4YY9jVbsPhNB4gnHNhnJSCCgBAkyiMlO5uN1dcnhASnCY/MpE6ZitrpmKDnooVNU3KVBAKotdpwYI/IpvhUDmQAgBZeirE0a9Sj5XWuphaJdjZ3oDjM751Tbbz/gi8oVjda1RIyOH/Mb0sqJdSUJEek06TVMeVtafCKPVUrA8qkmqa1FNBKIltVdisKZU/5KiXm8uUqfjSl78ClXb1h02tiamVm13tDYjEE+veu2Qktppm8c65GK0K0qjYmOHhYRz/1jsx+rVb0f+KvbL1Spl0aujUqvSZCl/t+H4AFFTUDL1V6AFSivJHqf0/It2Xo/GVH4WzfXPNiqmVG0k8bK1ehTT5sY00KgCsXHSKyUZOkppmRqQm7NCiCwDH9OS4bE3YjDHYTNq0PRULAQoqCAXSYTfCqFVXVVDhlTIVclifi9Mf/hKWP2a9IXzrwRO49fVvgmtyHIlEAmfOnKGAoki2tFhg0KrWKWuOzPmh06jorlpEDv+P6aUQ7CZtsrGZWKHUTdh2ozZtP0wtOZQCFFTUDCoVw1aHGaeqqFnTF47BrFNDrSpehKccmYp/u/cYwrE4PnfLzpK9Rj2iVjHs2NSQVCiVGHH7sKXZLMv7oxaQ/D+K0aqYWgqi3UZBWjpK3YSdyf9jwR+BXqNK9oVVOxRU1BC9VWYs5g/HZCl9AIBRqwZjpRspPTi+hF8/M4H3vmwLSUaXgJ3tDTgy7QHnK/41I24/iV6lIPl/FFv+oNJHekrdhG0zpvf/mPcJapq1onBKQUUNsc1hweRSEIESC0DJhTcsj0MpINQszToNfCVQ1EwkOL5452E4rHp89Npe2fdPCH0V3lAME4tCzT8aT2BsIUBNmmtoNuswV0SjJglfZabUjtZ2kxbLaaY/FgOR5LhwLUBBRQ0hyXVLXfNKxyeT7bmEWa8uSfnjf5+bxMHxJXzyxh2wGmpDoEZpSKZsUl/F2EIAsQSnrNAaBP+PwsofvnAMy8EoBRUZKLWjdaNJmz5T4Y/UjEYFQEFFTVFtHiA+GcsfgNDw6Zc5S+MLx/Cv976EPZ12vP78Dln3TaxwVqsVKgYcEfsqaJw0PU1mfcHlj2lx8qON1DQz0t/fjzNnzpSkCdtu0iEYjSMUXZ1NXfCH0WSqnZsVCipqiB6xqa1qggrZMxUa2TMV337oBNzeML706l1QUcNgyTDq1NjmsCQzFafnxHFSEr5aRbNZV5BOxfDwMK68YCdGv3YrPnTLpeRVUwEkUa21JZAFH2UqCIWi06jQ3WSqnqAiHINFL1+EbtKpZR0pHXH78MPHTuONF27G7k67bPsl0iM1awJCpqLZrEt6JhACzWYdvOH8/D8k/QXX1AQAjpnJCTLBqwBJp9KUEkgoGoc/Ekcz9VQQSmVbFXmA+MIxWGUsf1hkzlR85Q9HYdCo8c837pBtn0RmdrU3YHo5hAV/BCNuMhJLRyH+H2SCpwzsRsn/YyXTtFhjwlcABRU1R6/TgjNz/nU+CkqDcy5mKuQLKkx6jWzeHw+95MJDL83ib6/rk9UDgMiM1Kx5ZMqDkTkfeX6koVlMk8/loVVBJnjKIJmpSCl/zNeYRDdAQUXN0euwIJbgGJ0PZH9yBQlFE4gnuCy+HxIWvVoW749ILIEv330UWx1mvOvynuIXRuTEzjZBrvvJkTnM+SKUqUiDlCbPp1mTTPCUgRRULKeUP2pNTROgoKLmqJYJEG9Y+MOSffpDhqDiR4+fxuk5Pz5/y07oNPQnUi4azTq02wy4+4VpACDhqzQU4v8xODgIjW71xAeZ4JWfpP15iqomBRWE4pHcSpUu1y05lMphey4hlT8SCZ79yRmY9YTwHw+ewCvOduLqs5yyrY3IjZ3tDcksG2lUrKelgPLHdbfchsYbPwq7o41M8CqIWaeGRsWwmJKpqDXbc4CCiprDotegzWZQfKYi6VAqc/kDAALRwvsqvnbvMUTjHJ+9mfw9KkHw6H5MfPc9GP3arbjuol00obCGBqMGGhXLK1Px86dGYd55NZ4/epJM8CoIY0zw/0gJKhb9EahVDA01JKpHQUUN0uu0KD9TIaPtuYTkvJiv/8fw8DB6enqgUqnwrQ9cjwuih9BDqfeyMzw8jN9+63OIe9wAOMbGxmj0cQ2MCf4fuWpVhGNx/PzpMVx7lhNdzabsP0CUFJtxtf35vD+CRpO2pjRwKKioQbY5LDg161tlzqQ0pPKHvJkKYV/5NGtKM/yjo6PgnCPucePO/++LdCGrAAMDAwiHgqu20ejjeprNupztz+89NIM5XwTvpIZjRWA3rTYVW/CHa6qfAqCgoibZ5rTAH4ljejlU6aVkpBTlD3PS/jz38ke6Gf4gXcgqAo0+5kY+/h93PHEGW1rMuLK3pcSrInJhrf/Hgj9CQQWhfHodyp8AKUX5w6wTeiry8f+gC5lyoNHH3Gg263PKVLw4sYxnx5bwjku7ayq9Xs3YjLpVMt3z/khSe6RWoKCiBqmGsVJvCcofK5mK3IMKupAph1JbT9cKTWYdFnLoqbjjyTMw6dS47cLNZVgVkQt2kzapogkIjZqUqSAUT4tFB5tRq2i5bl84Bq2aQS+jDoRZL2Uqci9/DA4OQm9YbQVNF7LKUGrr6VohF/+PBX8Edz4/hded35E0siIqj92oRSASRzgWRzzBsRSMopGCCkLpMMbQ67QoOlPhFyW6GZMvLVtIpqK/vx83f+QL0NicdCFTAKW0nq4Vmi1CunyjsdL//us4IrEE3nlZT5lWReRCUlUzGMViIALOa0ujAiggqGCMtTLGHi3FYgj56BUnQJSKLxSTtZ8CWBkpzVdVc7njUrz1G3fRhYyoCqR0eaax0niC42d/GcWlW5tw1iZrOZdGZMEmqmouB6I1qaYJ5BlUMMYaAdwBgIb4FU6v04J5fwSLeYjklBNvOAazTt6gItmomcf0x8xyCCdnfdQdT1QN2fw/HjzqwuRSEO+iLIXiaEwxFVuoQTVNIP9MRRzAmwF4NnoSY2wfY+wAY+yA2+0ueHFE4SSbNRXaV+ELyWt7DgAatQoGrSqv6Y/HT84BAF5GQQVRJUgXofkMY6U/eXIUbTYDrt/ZWs5lETmwYn+ekqmw1FFQwRi7nTH2sPQF4OOc8+VsO+WcD3HO93LO9zocDrnWSuSB0idA5LY9l8jXVOzxk3NoNuuwg9LERJUgjSCmK3+cnPXisZNz6L+kCxo1tcwpDamnYjEQSY4FN5lqK6jY8FOdc/7Bci2EkJcOuxEGrUrRQUUppLDN+tyDCs45Hjs5h8t7W2iOn6gaJP+PdFoVP31yFDq1Cm+5mEailYgtxf48IE6p1dr0h/y3ioQiUKkYtrYodwKkVJkKk06d80jpiVkfZr1hXNHbLPs6CKJUMMbSalV4Q1H85pkJ3HxeG1ostSWoVCtY9RqoVQxLwQh8oRgaDBpoayyjVFtHQ6xCycZipeipAAQxrVwzFY+dEPopruijEh1RXTSl8f/43+cm4Y/E8c7Luiu0KiIbjDHYjIJU90IgmhwPriUKCio451fLvA6iBPQ6LZhcCiKYhxhUOYjFEwhG46XpqdBrcs5UPH5yDltazOiwG7M/mSAURItFv6pRk3OOO544g/M227Cn0165hRFZsZu04vRH7ZmJAZSpqGm2OSzgHIrLVkgjn+aSBBXqnDIV0XgCfxmZx8uo9EFUIU1m3aqR0idOzeOU2493XdYjq6AcIT92oxZLgQjmfRE01liTJkBBRU1z9LE/YuK778F5nY3o6elRjJ23NywY6lgrOP1xcHwJ/kgcV9AoKVGFrO2puOOJM2gy63DzeW0VXBWRC5L9+YI/UnMaFQAFFTXL8PAwvvCJv0Xc4wbnHKOjo9i3b58iAotSOJRK5Dr98diJOagYcNlWCiqI6qPFsuL/MbEYwJ+OuvCWizph0KorvTQiC3axp2IxEKk5jQqAgoqaZWBgAIFAYNW2QCCAgYGBCq1oBemiX5qeCmH6g3O+4fMePzmHczfbkyNeBFFNNJlX/D+GnxoDAPRfSg2a1YDNpMWMJ4RonFOmgqgexsbG8tpeTpK25yXIVJh0GsQTHOFYYoPXj+K58SUaJSWqFqnBb2opiF8+PYbrd7ZSw3GVYDfqEE8INz3UqElUDV1d6cVvMm0vJ1L5oxQ9FZYcnEqfGllAPMFJmpuoWlrEtPkdT4xiMRAln48qotGsTfmeggqiShgcHITJZFq1zWQyYXBwsEIrWsEnZipKM/0hBRWZx0ofOzkHg1aFC7sbZX99gigHj977O0x89z349tsuhGvofTj91H2VXhKRIzbjSlBB5Q+iaujv78fQ0BDaOjoBMDjbOjA0NKQIW++SNmpKTqUbmIo9fnIOF29phl5DTW1E9TE8PIyBf/gY4h43AI7QoksxTdhEduwpY6RU/iCqiv7+fpwcGUH3J+/CZ3/6Z0UEFMBKT4Xc1udAaqYifVDh8oRwYtZH/RRE1TIwMIBgUJlN2ER27KsyFaSoSVQZJp0GmxuNOKEQD5Dh4WF8qf9qjH7tVmzbukX2uyuzXspUpC9/kNU5Ue0ouQmbyI7kVGrUqmHU1V62lIKKOqDXaVFEUDE8PIx9+/Zh2T0NoDTaGdkyFY+dmEOTWYezNzXI9poEUU6U3IRNZOeBO3+Lie++By995VWKEiWUCwoq6oA+pwUjbl9yjKlSlEM7QyqppAsqklbn25rJ6pyoWpTchE1szPDwMP7uox9O9sMoSZRQLiioqAP6nFaEYwlMLAayP7mElCNtu1Gm4qRodX5lH5U+iOpFasLu7u4GYwzd3d2KacImNkbJooRyIX+nHKE4elstAIATLh+6m80VW0dXVxdGR0fTbpeLjXoqHqN+CqJG6O/vpyCiCqmHfhjKVNQBvU4xqKhwX8Xg4CC0esOqbXKnbXVqFTQqljZT8fjJOfQ0m7C50ZTmJwmCIEpLPfTDUFBRBzQYtGht0OPErLei63jb296Gntf8PczNm0qWtmWMpTUVE6zOFyhLQRBExaiHfhgqf9QJfU4rTlY4U3F02ovIlpfhB/d8CG++qHSRuVmnXlf+eH58Cb5wjPopCIKoGNIN1MDAAMbGxtDV1YXBwcGaKmVRUFEn9Dot+NWBcXDOwVhlJh/uPzIDxoBrd7SW9HXSZSoeOzkHRlbnBEFUmFrvh6HyR53Q12pBIBLH1HKoYmt44IgLF3Q1wmEtrYqcWa9JSoFLPH5yDud12MjqnCAIooRQUFEn9DmtAIATrsr0VUwuBXF4yoMbdpY2SwEIEyCBlPKHLxzDc2NL1E9BEARRYiioqBOkCZBK9VU8cHgGAHB9OYIK3eryx1Mj84glOK6goIIgCKKkUFBRJzSZdWg263DCVaGg4qgL2xxmbHVYSv5aZr1mlUupZHV+AVmdEwRBlBQKKuoIwQOk/OWP5UAUT40s4IZdm8ryema9Gv7wSvnj8ZNzuKinCQZt7Zn3EARBKAkKKuqIvlYLTs76wHl5PUD+fGwWsQQvS+kDWD39MesJ4bjLR6UPgiCIMkBBRR3R57TCE4rB7Q2X9XUfOOKCw6rHns32sryeWadBOJZALJ4gaW6CIIgyQkFFHdFXAbnucCyOh4/N4hVnt5bNGXTFVCyOx04KVuc728jqnCAIotRQUFFHJD1AyjhW+sSpefgj8bKMkkqYdULvhC8Sw+NkdU4QBFE2KKioIxxWPRoMmrJmKh444oJZp8Zl25rL9ppSpuKF8SW4PGHqpyAIgigTFFTUEYwx9LWWzwMkkeB44IgLLz/LUdbJC8n+/D5RG4P6KQiCIMoDBRV1Rp/TUrag4vmJJbi94bJNfUiYdUKm4sGXZtHdbEJnE1mdEwRBlAMKKuqMXqcF8/4I5n2lnwB54IgLahXDtWeVOagQyx/eUIxKHwRBEGWEXErrjFS57mZLaY297j/iwiVbmspu4vWnu36Lie9+CnHPHL7f1o6dga/VtCsgQRCEUqBMRZ3R1yoai5W4BDLi9uHkrK/spY/h4WF85h8+hrjHDYBjdnoS+/btw/DwcFnXQRAEUY9QUFFntNsMMOvUJe+reOCIC0B5DMRSGRgYQDAYWLUtEAhgYGCgrOsgCIKoRyioqDMYY+gtQ7PmA0dc2NnWgM2N5W2SHBsby2s7QRAEIR8UVNQhvU5rSY3F5nxhPDO2WPYsBQB0dXXltZ0gCIKQDwoq6pC+VgtcnjCWg9GS7P/Boy5wDtywq/xBxeDgIEym1dkRk8mEwcHBsq+FIAii3qCgog7pdaxMgJSCB4640GE3VsRvo7+/H0NDQ+ju7gZjDN3d3RgaGqLpD4IgiDJAI6V1SF+rFFR4cWF3o6z7DkRiePTEHN56cRcYq4zfRn9/PwURBEEQFYAyFXXI5kYT9BpVSTIV+4/PIRxLlNVAjCAIglAGFFTUIWoVwzaHpSRaFQ8ccaHBoMFFW5pk3zdBEAShbCioqFP6Wi044ZI3qIjFE3joJReuO7sVWjW9tQiCIOoN+uSvU3odFkwuBeEPx2Tb54HRRSwGohUZJSUIgiAqDwUVdYrUrHnKLV+24oEjLujUKly13SHbPgmCIIjqgYKKOqXXKXqAyFQC4Zzj/iMzeFlvMyx6GioiCIKoRyioqFO6m03QqhlOypSpOObyYnwhiOt3bpJlfwRBEET1QUFFnaJVq7ClxSxbpuKBw4KB2CvOdsqyP4IgCKL6oKCijhGMxeTxALn/iAvnd9nhbDDIsj+CIAii+qCgoo7pdVoxthBAKBovaj/Ty0G8OLlMUx8EQRB1DgUVdUyf04IEB0bc/oL3MTw8jHPP6sPo127F4DuuxfDwsIwrJAiCIKoJCirqmKQHSIHNmsPDw9i3bx/mXZMAOKYmxrFv3z4KLAiCIOoUCirqmC0tZqgYcNJVWF/FwMAAAoHAqm2BQAADAwNyLI8gCIKoMiioqGP0GjV6ms0Fe4CMjY3ltZ0gCIKobSioqHO2OQs3Fuvs7Ey7vaurq5glEQRBEFUKBRV1Tp/TgjNzfkRiibx/9rUf+CcwjX7VNpPJhMHBQbmWRxAEQVQRFFTUOX2tFsQSHKPz+U2AcM5xyrYHZ7/pn9DV1QXGGLq7uzE0NIT+/v4SrZYgCIJQMmTSUOf0iR4gJ2d96Gu15vxzB0YXcWjSg6987AN4+/BXSrU8giAIooqgTEWds81hAWPIu6/iR4+fRoNBg9df0FGilREEQRDVBgUVdY5Rp0aH3ZhXUDG5FMR9h11468VdMOko2UUQBEEIUFBBoM9pwYk8tCp+8uQZcM7xjsu6S7gqgiAIotqgoIJAX6sVI3N+xBM863MDkRh++fQ4XrlrEzY3msqwOoIgCKJaoKCCQK/TgkgsgfGFQNbn/u9zk1gORvGel20pw8oIgiCIaoKCCgJ9TsEDJFtfBeccP378DHa1N+CinsZyLI0gCIKoIiioINCbDCo27qt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      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制500hPa的1月份WP指数年际变化的时间序列\n",
    "fig=plt.figure(figsize=(9,6))\n",
    "ax1=fig.subplots(1,1)\n",
    "ax1.set_title('500hPaWP指数1月份年际变化的时间序列',loc='center')\n",
    "ax1.plot(np.arange(1981,2019,1),biaozhunWP500,marker='o',markerfacecolor='black',markeredgecolor='black')\n",
    "ax1.axhline(y=0,linestyle='--',color='black')\n",
    "#保存图片\n",
    "plt.savefig('data/ex3-4_1.png')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# 相关系数公式\n",
    "$r=\\frac{\\frac{1}{n}\\sum_{i=1}^{n}(X_{i}-\\overline{X})(Y_{i}-\\overline{Y})}{\\frac{1}{n}\\sqrt{\\sum_{i=1}^{n}(X_{i}-\\overline{X})^2}\\sqrt{\\sum_{i=1}^{n}(Y_{i}-\\overline{Y})^2}}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 计算太平洋西部型（WP）遥相关指数与同期环流场（500hPa高度场或海平面气压场）的相关系数 （空间场）\n",
    "# 500hPa 和 海平面高度 的WP\n",
    "def xiangguan(WP,ds,num):\n",
    "    aveWP=np.mean(WP)\n",
    "    x=WP-aveWP\n",
    "    y=ds.loc[:,num,:,:]-ds.loc[:,num,:,:].mean(dim='time')\n",
    "    up=np.sum(x*y,axis=0)/len(WP.time)\n",
    "    down=(np.sqrt(np.sum(x**2))*np.sqrt(np.sum(y**2,axis=0)))/len(WP.time)\n",
    "    # 相关系数\n",
    "    r=up/down\n",
    "    return r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
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       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (lat: 73, lon: 144)&gt;\n",
       "array([[ 0.09546735,  0.09546735,  0.09546735, ...,  0.09546735,\n",
       "         0.09546735,  0.09546735],\n",
       "       [ 0.11383944,  0.11569786,  0.11738367, ...,  0.11143487,\n",
       "         0.11231806,  0.11404118],\n",
       "       [ 0.12955151,  0.13107277,  0.13282081, ...,  0.12441347,\n",
       "         0.12632212,  0.12681516],\n",
       "       ...,\n",
       "       [-0.10159363, -0.09906642, -0.09615366, ..., -0.11192648,\n",
       "        -0.10979944, -0.10711465],\n",
       "       [-0.10397817, -0.10024208, -0.09767719, ..., -0.11078372,\n",
       "        -0.10862785, -0.10392841],\n",
       "       [-0.12145519, -0.12145519, -0.12145519, ..., -0.12145519,\n",
       "        -0.12145519, -0.12145519]])\n",
       "Coordinates:\n",
       "    level    float32 500.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e367ce18-c322-4d65-9fdd-58b799c5f462' class='xr-array-in' type='checkbox' checked><label for='section-e367ce18-c322-4d65-9fdd-58b799c5f462' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.09547 0.09547 0.09547 0.09547 ... -0.1215 -0.1215 -0.1215 -0.1215</span></div><div class='xr-array-data'><pre>array([[ 0.09546735,  0.09546735,  0.09546735, ...,  0.09546735,\n",
       "         0.09546735,  0.09546735],\n",
       "       [ 0.11383944,  0.11569786,  0.11738367, ...,  0.11143487,\n",
       "         0.11231806,  0.11404118],\n",
       "       [ 0.12955151,  0.13107277,  0.13282081, ...,  0.12441347,\n",
       "         0.12632212,  0.12681516],\n",
       "       ...,\n",
       "       [-0.10159363, -0.09906642, -0.09615366, ..., -0.11192648,\n",
       "        -0.10979944, -0.10711465],\n",
       "       [-0.10397817, -0.10024208, -0.09767719, ..., -0.11078372,\n",
       "        -0.10862785, -0.10392841],\n",
       "       [-0.12145519, -0.12145519, -0.12145519, ..., -0.12145519,\n",
       "        -0.12145519, -0.12145519]])</pre></div></div></li><li class='xr-section-item'><input id='section-cc3e633c-82f3-42bd-941c-0632d1c467f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc3e633c-82f3-42bd-941c-0632d1c467f6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0</div><input id='attrs-2bf57501-27d1-43ed-afaf-3f2be62151ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bf57501-27d1-43ed-afaf-3f2be62151ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37883bd9-3c5d-417e-8ae2-436fd979dd30' class='xr-var-data-in' type='checkbox'><label for='data-37883bd9-3c5d-417e-8ae2-436fd979dd30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array(500., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-5a5cda25-6b4b-42bd-b7a8-843208df3b23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a5cda25-6b4b-42bd-b7a8-843208df3b23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-039f126a-eb1f-445b-a2aa-ec4f734e4576' class='xr-var-data-in' type='checkbox'><label for='data-039f126a-eb1f-445b-a2aa-ec4f734e4576' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-be1cb823-c7c9-49f1-b119-66d1bdc95ef7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be1cb823-c7c9-49f1-b119-66d1bdc95ef7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa249fca-4160-467f-8393-b19003539112' class='xr-var-data-in' type='checkbox'><label for='data-aa249fca-4160-467f-8393-b19003539112' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38eb00c2-5992-4b92-b544-4ca19b5e92f4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-38eb00c2-5992-4b92-b544-4ca19b5e92f4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (lat: 73, lon: 144)>\n",
       "array([[ 0.09546735,  0.09546735,  0.09546735, ...,  0.09546735,\n",
       "         0.09546735,  0.09546735],\n",
       "       [ 0.11383944,  0.11569786,  0.11738367, ...,  0.11143487,\n",
       "         0.11231806,  0.11404118],\n",
       "       [ 0.12955151,  0.13107277,  0.13282081, ...,  0.12441347,\n",
       "         0.12632212,  0.12681516],\n",
       "       ...,\n",
       "       [-0.10159363, -0.09906642, -0.09615366, ..., -0.11192648,\n",
       "        -0.10979944, -0.10711465],\n",
       "       [-0.10397817, -0.10024208, -0.09767719, ..., -0.11078372,\n",
       "        -0.10862785, -0.10392841],\n",
       "       [-0.12145519, -0.12145519, -0.12145519, ..., -0.12145519,\n",
       "        -0.12145519, -0.12145519]])\n",
       "Coordinates:\n",
       "    level    float32 500.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r500=xiangguan(biaozhunWP500,hgt,500)\n",
    "r500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (lat: 73, lon: 144)&gt;\n",
       "array([[ 0.05675335,  0.05675335,  0.05675335, ...,  0.05675335,\n",
       "         0.05675335,  0.05675335],\n",
       "       [ 0.05973064,  0.06132111,  0.06181196, ...,  0.06242106,\n",
       "         0.06030107,  0.06231934],\n",
       "       [ 0.05963101,  0.05774125,  0.05757195, ...,  0.06125863,\n",
       "         0.0574323 ,  0.05886079],\n",
       "       ...,\n",
       "       [-0.16562038, -0.16196487, -0.16434817, ..., -0.17352448,\n",
       "        -0.16824581, -0.16489184],\n",
       "       [-0.14661595, -0.14991018, -0.14737304, ..., -0.15284256,\n",
       "        -0.15186913, -0.14704016],\n",
       "       [-0.13985149, -0.13985149, -0.13985149, ..., -0.13985149,\n",
       "        -0.13985149, -0.13985149]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-74fb11a3-7505-47ab-841f-935a14a82ebb' class='xr-array-in' type='checkbox' checked><label for='section-74fb11a3-7505-47ab-841f-935a14a82ebb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.05675 0.05675 0.05675 0.05675 ... -0.1399 -0.1399 -0.1399 -0.1399</span></div><div class='xr-array-data'><pre>array([[ 0.05675335,  0.05675335,  0.05675335, ...,  0.05675335,\n",
       "         0.05675335,  0.05675335],\n",
       "       [ 0.05973064,  0.06132111,  0.06181196, ...,  0.06242106,\n",
       "         0.06030107,  0.06231934],\n",
       "       [ 0.05963101,  0.05774125,  0.05757195, ...,  0.06125863,\n",
       "         0.0574323 ,  0.05886079],\n",
       "       ...,\n",
       "       [-0.16562038, -0.16196487, -0.16434817, ..., -0.17352448,\n",
       "        -0.16824581, -0.16489184],\n",
       "       [-0.14661595, -0.14991018, -0.14737304, ..., -0.15284256,\n",
       "        -0.15186913, -0.14704016],\n",
       "       [-0.13985149, -0.13985149, -0.13985149, ..., -0.13985149,\n",
       "        -0.13985149, -0.13985149]])</pre></div></div></li><li class='xr-section-item'><input id='section-e4e10cfd-24dd-4247-8b46-fd667fe2851a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4e10cfd-24dd-4247-8b46-fd667fe2851a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-b2638a6d-03ba-4287-bd1c-6c4c1547efc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2638a6d-03ba-4287-bd1c-6c4c1547efc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca36b51-33bf-44ba-9266-b4f8be15a7c6' class='xr-var-data-in' type='checkbox'><label for='data-1ca36b51-33bf-44ba-9266-b4f8be15a7c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-fbc0963a-30b8-4d9f-99bd-7b3db8617c18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbc0963a-30b8-4d9f-99bd-7b3db8617c18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea80139a-315a-445c-97b5-7f3b9d4909c0' class='xr-var-data-in' type='checkbox'><label for='data-ea80139a-315a-445c-97b5-7f3b9d4909c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f4dddae-50d0-4b83-82d7-82c0bb1a297a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9f4dddae-50d0-4b83-82d7-82c0bb1a297a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (lat: 73, lon: 144)>\n",
       "array([[ 0.05675335,  0.05675335,  0.05675335, ...,  0.05675335,\n",
       "         0.05675335,  0.05675335],\n",
       "       [ 0.05973064,  0.06132111,  0.06181196, ...,  0.06242106,\n",
       "         0.06030107,  0.06231934],\n",
       "       [ 0.05963101,  0.05774125,  0.05757195, ...,  0.06125863,\n",
       "         0.0574323 ,  0.05886079],\n",
       "       ...,\n",
       "       [-0.16562038, -0.16196487, -0.16434817, ..., -0.17352448,\n",
       "        -0.16824581, -0.16489184],\n",
       "       [-0.14661595, -0.14991018, -0.14737304, ..., -0.15284256,\n",
       "        -0.15186913, -0.14704016],\n",
       "       [-0.13985149, -0.13985149, -0.13985149, ..., -0.13985149,\n",
       "        -0.13985149, -0.13985149]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r1000=xiangguan(biaozhunWP500,hgt,1000)\n",
    "r1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lon1 =r1000['lon'].data\n",
    "lat1 =r1000['lat'].data\n",
    "# 填充白条\n",
    "r1000_fill,lon= add_cyclic_point(r1000, coord=lon1)\n",
    "r500_fill,lon= add_cyclic_point(r500, coord=lon1)\n",
    "lon, lat = np.meshgrid(lon, lat1) #生成网格点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 创建地图\n",
    "def createmap(ax1):\n",
    "    # 海岸线\n",
    "    ax1.coastlines('110m')\n",
    "    # 标注坐标轴\n",
    "    ax1.set_xticks(np.arange(-180, 181, 30), crs=ccrs.PlateCarree())\n",
    "    ax1.set_yticks(np.arange(-90, 91, 20), crs=ccrs.PlateCarree())\n",
    "    # 设置大小刻度\n",
    "    minorticks = MultipleLocator(10)\n",
    "    majorticks = MultipleLocator(30)\n",
    "    ax1.xaxis.set_major_locator(majorticks)\n",
    "    ax1.xaxis.set_minor_locator(minorticks)\n",
    "    ax1.yaxis.set_minor_locator(minorticks)\n",
    "    # 经纬度格式，把0经度设置不加E和W\n",
    "    lon_formatter = LongitudeFormatter(zero_direction_label=False)\n",
    "    lat_formatter = LatitudeFormatter()\n",
    "    ax1.xaxis.set_major_formatter(lon_formatter)\n",
    "    ax1.yaxis.set_major_formatter(lat_formatter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘图部分\n",
    "fig= plt.figure(figsize=(9,6))\n",
    "ax1=fig.subplots(1,1,subplot_kw={'projection':ccrs.PlateCarree(central_longitude=180)})\n",
    "createmap(ax1)\n",
    "\n",
    "# 绘图\n",
    "colorbar=ax1.contourf(lon,lat,r1000_fill,levels=[-1,-0.8,-0.7,-0.6,-0.5,0.5,0.6,0.7,0.8,1],colors=['#214d95','#316cb3','#4387c5','#59a5d7','#fefefe','#fa992e','#f57329',\"#e74d28\",'#ce1e26'],transform=ccrs.PlateCarree())\n",
    "plt.colorbar(colorbar,extendrect='True',orientation='horizontal', pad=0.05, fraction=0.04, shrink=1)\n",
    "plt.title('WP遥相关指数与同期北半球海平面气压场的相关系数')\n",
    "# 保存图片\n",
    "plt.savefig('data/ex3-4_21000.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘图部分\n",
    "fig= plt.figure(figsize=(9,6))\n",
    "ax1=fig.subplots(1,1,subplot_kw={'projection':ccrs.PlateCarree(central_longitude=180)})\n",
    "createmap(ax1)\n",
    "\n",
    "# 绘图\n",
    "colorbar=ax1.contourf(lon,lat,r500_fill,levels=[-1,-0.8,-0.7,-0.6,-0.5,0.5,0.6,0.7,0.8,1],colors=['#214d95','#316cb3','#4387c5','#59a5d7','#fefefe','#fa992e','#f57329',\"#e74d28\",'#ce1e26'],transform=ccrs.PlateCarree())\n",
    "plt.colorbar(colorbar,extendrect='True',orientation='horizontal', pad=0.05, fraction=0.04, shrink=1)\n",
    "plt.title('WP遥相关指数与同期500hPa高度场的相关系数')\n",
    "# 保存图片\n",
    "plt.savefig('data/ex3-4_2500.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "air=xr.open_dataset('data/air.mon.mean.nc')['air']\n",
    "air=air.loc[air.time.dt.month.isin([1])].loc['1981':'2018',:,:,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "airr500=xiangguan(biaozhunWP500,air,500)\n",
    "airr1000=xiangguan(biaozhunWP500,air,1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lon1 =airr500['lon'].data\n",
    "lat1 =airr500['lat'].data\n",
    "# 填充白条\n",
    "airr500_fill,lon= add_cyclic_point(airr500, coord=lon1)\n",
    "airr1000_fill,lon= add_cyclic_point(airr1000, coord=lon1)\n",
    "lon, lat = np.meshgrid(lon, lat1) #生成网格点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘图部分\n",
    "fig= plt.figure(figsize=(9,6))\n",
    "ax1=fig.subplots(1,1,subplot_kw={'projection':ccrs.PlateCarree(central_longitude=180)})\n",
    "createmap(ax1)\n",
    "\n",
    "# 绘图\n",
    "colorbar=ax1.contourf(lon,lat,airr500_fill,levels=[-1,-0.8,-0.7,-0.6,-0.5,0.5,0.6,0.7,0.8,1],colors=['#214d95','#316cb3','#4387c5','#59a5d7','#fefefe','#fa992e','#f57329',\"#e74d28\",'#ce1e26'],transform=ccrs.PlateCarree())\n",
    "plt.colorbar(colorbar,extendrect='True',orientation='horizontal', pad=0.05, fraction=0.04, shrink=1)\n",
    "plt.title('WP遥相关指数与同期北半球海平面气温的相关系数')\n",
    "# 保存图片\n",
    "plt.savefig('data/ex3-4_31000.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘图部分\n",
    "fig= plt.figure(figsize=(9,6))\n",
    "ax1=fig.subplots(1,1,subplot_kw={'projection':ccrs.PlateCarree(central_longitude=180)})\n",
    "createmap(ax1)\n",
    "\n",
    "# 绘图\n",
    "colorbar=ax1.contourf(lon,lat,airr1000_fill,levels=[-1,-0.8,-0.7,-0.6,-0.5,0.5,0.6,0.7,0.8,1],colors=['#214d95','#316cb3','#4387c5','#59a5d7','#fefefe','#fa992e','#f57329',\"#e74d28\",'#ce1e26'],transform=ccrs.PlateCarree())\n",
    "plt.colorbar(colorbar,extendrect='True',orientation='horizontal', pad=0.05, fraction=0.04, shrink=1)\n",
    "plt.title('WP遥相关指数与同期北半球500hPa气温的相关系数')\n",
    "# 保存图片\n",
    "plt.savefig('data/ex3-4_3500.png')"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "1af7d1ae3c55d82bbda2a5569c7a9f2f2d33ff4c43dd1c666120ac4867346c8c"
  },
  "kernelspec": {
   "display_name": "Python 3.10.4 ('py310')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
